Datasets:

noxneural

/

stock_2018

like 0

DBA

{'date': '2022-07-11', 'ticker': 'DBA', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 20.21999931335449, 'high': 20.520000457763672, 'open': 20.5, 'close': 20.25, 'ema_50': 21.30634288017902, 'rsi_14': 29.551466192127833, 'target': 19.690000534057617, 'volume': 925400.0, 'ema_200': 20.728983594746165, 'adj_close': 20.15161895751953, 'rsi_lag_1': 29.551451320120805, 'rsi_lag_2': 26.648400161181286, 'rsi_lag_3': 18.597564875970193, 'rsi_lag_4': 16.00000469500924, 'rsi_lag_5': 16.938116820383115, 'macd_lag_1': -0.5402161221849013, 'macd_lag_2': -0.5796795611631929, 'macd_lag_3': -0.583944938413925, 'macd_lag_4': -0.5432225535514377, 'macd_lag_5': -0.47418091146633756, 'macd_12_26_9': -0.5135114677509911, 'macds_12_26_9': -0.47546776275474945}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 19.690000534057617, '2022-07-13': 19.76000022888184, '2022-07-14': 19.520000457763672, '2022-07-15': 19.64999961853028, '2022-07-18': 20.06999969482422, '2022-07-19': 19.950000762939453, '2022-07-20': 19.950000762939453, '2022-07-21': 19.600000381469727, '2022-07-22': 19.299999237060547, '2022-07-25': 19.559999465942383}, '1_month_later': {'2022-08-11': 20.6200008392334}, '3_months_later': {'2022-10-11': 20.34000015258789}, '6_months_later': {'2023-01-11': 19.3700008392334}, '12_months_later': {'2023-07-11': 21.38999938964844}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

dbaw

{'date': '2022-07-11', 'ticker': 'dbaw', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 29.21999931335449, 'high': 29.450000762939453, 'open': 29.38999938964844, 'close': 29.21999931335449, 'ema_50': 30.33305415184423, 'rsi_14': 49.64284838460924, 'target': 29.239999771118164, 'volume': 7300.0, 'ema_200': 31.7001130008517, 'adj_close': 25.22234535217285, 'rsi_lag_1': 59.92066315370397, 'rsi_lag_2': 43.01993156353472, 'rsi_lag_3': 41.0029189819347, 'rsi_lag_4': 39.99997722563867, 'rsi_lag_5': 35.170565307023494, 'macd_lag_1': -0.35409957075689036, 'macd_lag_2': -0.3907358245693935, 'macd_lag_3': -0.43181357653271135, 'macd_lag_4': -0.43214454115339507, 'macd_lag_5': -0.4211904021699553, 'macd_12_26_9': -0.3532695839852167, 'macds_12_26_9': -0.3883182785604685}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 29.239999771118164, '2022-07-13': 29.170000076293945, '2022-07-14': 28.96999931335449, '2022-07-15': 29.280000686645508, '2022-07-18': 29.309999465942383, '2022-07-19': 29.850000381469727, '2022-07-20': 29.770000457763672, '2022-07-21': 30.0, '2022-07-22': 29.799999237060547, '2022-07-25': 29.96999931335449}, '1_month_later': {'2022-08-11': 30.59000015258789}, '3_months_later': {'2022-10-11': 27.84000015258789}, '6_months_later': {'2023-01-11': 28.43000030517578}, '12_months_later': {'2023-07-11': 28.530000686645508}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

dbb

{'date': '2022-07-11', 'ticker': 'dbb', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 18.479999542236328, 'high': 18.76000022888184, 'open': 18.76000022888184, 'close': 18.51000022888184, 'ema_50': 21.589942676373095, 'rsi_14': 21.040212576863212, 'target': 18.010000228881836, 'volume': 311600.0, 'ema_200': 22.317050089175538, 'adj_close': 17.057512283325195, 'rsi_lag_1': 21.70733658916012, 'rsi_lag_2': 20.366149602381327, 'rsi_lag_3': 20.366149602381384, 'rsi_lag_4': 16.12203368982874, 'rsi_lag_5': 17.12966213009267, 'macd_lag_1': -0.9734896078731516, 'macd_lag_2': -0.988720003086442, 'macd_lag_3': -1.001923590618393, 'macd_lag_4': -0.9614390914366133, 'macd_lag_5': -0.8805088918097113, 'macd_12_26_9': -0.9967308635672367, 'macds_12_26_9': -0.8996648516608727}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 18.010000228881836, '2022-07-13': 17.959999084472656, '2022-07-14': 17.670000076293945, '2022-07-15': 17.860000610351562, '2022-07-18': 18.270000457763672, '2022-07-19': 18.100000381469727, '2022-07-20': 18.26000022888184, '2022-07-21': 18.299999237060547, '2022-07-22': 18.40999984741211, '2022-07-25': 18.3700008392334}, '1_month_later': {'2022-08-11': 20.5}, '3_months_later': {'2022-10-11': 18.11000061035156}, '6_months_later': {'2023-01-11': 20.989999771118164}, '12_months_later': {'2023-07-11': 17.979999542236328}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

DBC

{'date': '2022-07-11', 'ticker': 'DBC', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 25.81999969482422, 'high': 26.15999984741211, 'open': 26.09000015258789, 'close': 26.020000457763672, 'ema_50': 27.582208656348513, 'rsi_14': 31.241090763943347, 'target': 24.84000015258789, 'volume': 3606800.0, 'ema_200': 24.64466161938891, 'adj_close': 24.65241050720215, 'rsi_lag_1': 27.30673826754719, 'rsi_lag_2': 24.285722778545903, 'rsi_lag_3': 12.985085674105207, 'rsi_lag_4': 13.063072222338235, 'rsi_lag_5': 16.73078291514706, 'macd_lag_1': -0.8491115516330012, 'macd_lag_2': -0.8566542204810297, 'macd_lag_3': -0.8080029183980848, 'macd_lag_4': -0.6302988037723054, 'macd_lag_5': -0.4319883697506164, 'macd_12_26_9': -0.8375141114562368, 'macds_12_26_9': -0.5835452671117916}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 24.84000015258789, '2022-07-13': 24.979999542236328, '2022-07-14': 24.75, '2022-07-15': 25.06999969482422, '2022-07-18': 25.540000915527344, '2022-07-19': 25.63999938964844, '2022-07-20': 25.6200008392334, '2022-07-21': 25.190000534057617, '2022-07-22': 24.88999938964844, '2022-07-25': 25.34000015258789}, '1_month_later': {'2022-08-11': 26.229999542236328}, '3_months_later': {'2022-10-11': 25.32999992370605}, '6_months_later': {'2023-01-11': 24.350000381469727}, '12_months_later': {'2023-07-11': 23.299999237060547}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

DBE

{'date': '2022-07-11', 'ticker': 'DBE', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 25.200000762939453, 'high': 25.739999771118164, 'open': 25.479999542236328, 'close': 25.600000381469727, 'ema_50': 26.56749251479408, 'rsi_14': 36.65521456576148, 'target': 24.239999771118164, 'volume': 117500.0, 'ema_200': 22.32046625708412, 'adj_close': 24.4733943939209, 'rsi_lag_1': 29.840315713772895, 'rsi_lag_2': 27.52577181741215, 'rsi_lag_3': 16.53085041990542, 'rsi_lag_4': 17.191283740269085, 'rsi_lag_5': 22.468356722498967, 'macd_lag_1': -0.7349857903343278, 'macd_lag_2': -0.7173081110179176, 'macd_lag_3': -0.6446023626750588, 'macd_lag_4': -0.41515462769671885, 'macd_lag_5': -0.18345725402164348, 'macd_12_26_9': -0.723707701672442, 'macds_12_26_9': -0.39064112448474925}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 24.239999771118164, '2022-07-13': 24.34000015258789, '2022-07-14': 24.170000076293945, '2022-07-15': 24.530000686645508, '2022-07-18': 25.040000915527344, '2022-07-19': 25.38999938964844, '2022-07-20': 25.38999938964844, '2022-07-21': 24.82999992370605, '2022-07-22': 24.6299991607666, '2022-07-25': 25.13999938964844}, '1_month_later': {'2022-08-11': 25.51000022888184}, '3_months_later': {'2022-10-11': 24.64999961853028}, '6_months_later': {'2023-01-11': 21.8700008392334}, '12_months_later': {'2023-07-11': 20.64999961853028}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

DDD

{'date': '2022-07-11', 'ticker': 'DDD', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 9.640000343322754, 'high': 10.119999885559082, 'open': 10.09000015258789, 'close': 9.6899995803833, 'ema_50': 10.915581010365813, 'rsi_14': 48.882669584163466, 'target': 9.6899995803833, 'volume': 686200.0, 'ema_200': 16.477317127981067, 'adj_close': 9.6899995803833, 'rsi_lag_1': 60.28985050540566, 'rsi_lag_2': 49.60000386555692, 'rsi_lag_3': 52.39295194398069, 'rsi_lag_4': 59.60451642554528, 'rsi_lag_5': 43.645091610988075, 'macd_lag_1': -0.2272178117443051, 'macd_lag_2': -0.26750101853332, 'macd_lag_3': -0.29262618484199265, 'macd_lag_4': -0.27360228508512385, 'macd_lag_5': -0.2921775691328161, 'macd_12_26_9': -0.22976267771056946, 'macds_12_26_9': -0.27728027419175294}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 9.6899995803833, '2022-07-13': 9.6899995803833, '2022-07-14': 9.529999732971191, '2022-07-15': 9.890000343322754, '2022-07-18': 9.760000228881836, '2022-07-19': 10.289999961853027, '2022-07-20': 10.859999656677246, '2022-07-21': 11.170000076293944, '2022-07-22': 10.65999984741211, '2022-07-25': 10.43000030517578}, '1_month_later': {'2022-08-11': 12.119999885559082}, '3_months_later': {'2022-10-11': 8.130000114440918}, '6_months_later': {'2023-01-11': 8.9399995803833}, '12_months_later': {'2023-07-11': 10.56999969482422}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

DD

{'date': '2022-07-11', 'ticker': 'DD', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.nasdaq.com/articles/7-overlooked-blue-chip-stocks-to-add-to-your-buy-list', 'news_author': None, 'news_article': 'InvestorPlace - Stock Market News, Stock Advice & Trading Tips\nWhile arguably most financial advisors will recommend their clients to bulk up their portfolios with proven large-capitalization ideas, you can leverage the present market dynamics in a nuanced manner with overlooked blue-chip stocks to buy. Rather than go with the flavors of the week, you may enjoy higher-probability successes by dipping a bit beneath the radar.\nWhy might this strategy be appropriate under the present context? For one thing, when everyone bets on the same horse, the payout for each individual tends to diminish. However, some of the biggest gains in the broader capital markets typically stem from ideas that people weren’t paying attention to. Therefore, the subsequent rush of excitement as the public catches on could buoy overlooked blue-chip stocks to buy.\n7 Best Clean Air and Water Stocks to Buy Now\nAnother factor to consider is the balanced nature of large-cap firms. Yes, it’s admittedly far more exciting to wager on groundbreaking technology firms. However, in a downturn, these ideas could drop further or even implode altogether. On the flipside, by electing overlooked blue-chip stocks to buy, you’re engaging quality companies: It’s just that the rest of the market hasn’t recognized it yet.\nTicker Company Recent Price\nCAT Caterpillar $176.73\nGM General Motors $31.75\nDD DuPont $54.88\nIBM IBM $140.81\nCI Cigna $279.20\nABBV AbbVie $153.81\nBTI British American Tobacco $40.23\nCaterpillar (CAT)\nWith a market cap of $95 billion, Caterpillar (NYSE:CAT) might not immediately strike you as one of the overlooked blue-chip stocks to buy. Indeed, throughout the runup to the 2016 presidential election, the industrial equipment manufacturer represented one of the key talking points.\nNevertheless, with the mainstream media focusing recently on brewing global recession fears, it’s understandable why many investors would now regard CAT as one of the overlooked blue-chip stocks. If a downturn hits us, the international community probably wouldn’t be too keen on building stuff.\nBut then, here’s the other side of the coin (literally). Rising inflation and the associated loss of purchasing power means that astute investors are looking for wealth-preserving assets. Historically, precious metals have been reliable safe havens and this narrative could rise once again. Should this happen, Caterpillar could easily go along for the ride as the company is a stalwart in the mining equipment sector.\nGeneral Motors (GM)\nIt’s tough being in the automotive industry right now. Yes, if global growth slows down due to inflation and other headwinds, consumer demand could fade, resulting in the easing of the semiconductor crisis. Theoretically, that would be a positive for General Motors (NYSE:GM). But then, the aforementioned loss of demand would impose a Pyrrhic victory.\nAs well, GM has plenty of competition. Electric vehicles have been exploding in popularity over the years and the military conflict in eastern Europe has only exacerbated this trend. Therefore, the fundamental realities of the auto sector suggest GM is overlooked.\nBut in my view, it’s one of the overlooked blue-chip stocks to buy. Sure, GM has tanked 48% on a year-to-date basis, let’s just keep it real. At the same time, it might be a substantially discounted opportunity because the company is rolling out exciting products for the green crowd and the gearheads.\n7 Best Cheap Stocks Under $10 to Buy in July\nThe upcoming GMC Hummer EV should bring a macho cool factor to SUV ownership while the eighth-generation Corvette has been absolutely killing the sports car segment.\nDuPont (DD)\nWhen the topic of overlooked blue-chip stocks to buy came up, DuPont (NYSE:DD) was among the companies that came immediately to mind. Like other applied science and industrial chemicals firms, DuPont is vital to the economy. It’s just that few people talk about these companies. They physically undergird much-discussed innovations, but they’re not the innovation itself.\nHowever, the boring nature of DuPont might make it an ideal candidate for a market comeback. To be fair, the comeback may take time, but it should be worth it. For instance, DuPont is actively researching flexible printed circuits, which “can be bent, folded and configured in nearly any shape or thickness imaginable.” Such circuits would have enormously positive implications for electric vehicles as well as 5G and the Internet of Things.\nFurther, DuPont produces materials that are practical right now, such as Kevlar. This synthetic lightweight fiber offers myriad applications, including automotive, aerospace and military/defense.\nIBM (IBM)\nOne of the forefathers of the big technology market, IBM (NYSE:IBM) long dominated the sector thanks to its unparalleled computer technologies. But as computing gradually transitioned from on-premise platforms to the cloud, “Big Blue” started to lose its edge to other popular tech firms. Over the years, IBM stock languished in frustrating sideways consolidation patterns.\nHowever, this appears to be changing. For instance, IBM is up nearly 4% YTD; whereas, the technology-centric Nasdaq index is down 24% during the same period. In fairness, in the trailing five years, shares have declined by 4% — not exactly riveting stuff. But as the popular big tech giants are struggling, it’s very encouraging that IBM is rising.\n7 Cryptos to Sell to Escape the Crypto Contagion\nFundamentally, this contrast can continue operating in Big Blue’s favor. The company is making investments in myriad sectors, including artificial intelligence, cybersecurity and even the blockchain. As well, it’s gaining ground in the cloud space with its Red Hat acquisition.\nCigna (CI)\nAn American multinational firm specializing in managed healthcare and insurance, Cigna (NYSE:CI) is somewhat like a bail bondsman. It’s better to know one and not need it than need it and not know one. As such, Cigna is one of the overlooked blue-chip stocks but as you might imagine from the title of this article, it should belong on your buy list.\nFrankly, the catalyst for Cigna’s bullish case is cynical. Healthcare and insurance products are always relevant. However, they can be more so during a market downturn. Should a recession really be on the horizon, you can expect consumers to cut down on their spending. However, core services like health insurance will be the last to get cut because they basically help prevent utter financial devastation.\nNot surprisingly, CI has been a strong performer this year, gaining around 20% since the beginning of January. With the benchmark S&P 500 down almost 19% during the same period, CI looks mighty attractive.\nAbbVie (ABBV)\nRegarding the biotechnology and pharmaceutical space, the coronavirus pandemic imposed a bifurcated all-or-nothing dynamic. If you were directly working on a Covid-19 vaccine, your stock went up. Right now, Covid has become far less of a concern. However, the monkeypox outbreak may have some investors thinking about highly specialized biotech firms.\nYet again, AbbVie (NYSE:ABBV) finds itself on the outskirts of the hottest trends of its underlying industry. But on the positive front, that just makes ABBV one of the overlooked blue-chip stocks to buy. While the company offers many exciting products in its pipeline, I’m particularly interested in Botox, the neurotoxin that basically acts as the pharmaceutical fountain of youth.\n7 Moonshot Investments Upending a $10 Trillion Industry\nIndeed, some patients are getting Botox at a young age as a preventative measure against the signs of aging. Either way, with Covid-19 fears declining, more socialization opportunities will sprout. That makes ABBV a smart but somewhat cynical idea for overlooked blue-chip stocks to buy.\nBritish American Tobacco (BTI)\nBritish American Tobacco (NYSE:BTI) is one of the overlooked blue-chip stocks and many would argue for good reason. Thanks to multiple public service announcements, anti-tobacco advocacy groups have succeeded in helping to reduce smoking rates. Further, these trends are noticed worldwide. With the practice falling out of favor, you’d think that BTI would also be plunging.\nYet the stock has performed fairly well among non-hydrocarbon-related securities, gaining around 6% YTD. On a longer-term basis, shares have been rising since 2019. It begs the question, what the heck is going on here?\nCertain scientific data suggests that “the propensity to become a smoker increases significantly during an economic downturn.” Considering the global inflation problem along with the possibility of upcoming job losses, the situation doesn’t look particularly bright. This might drive more demand for tobacco products.\nAnd while cigarette smoking may have lost its luster, vaping has risen dramatically. So, BTI is relevant though you’re going to have to come to terms with the underlying controversy.\nOn the date of publication, Josh Enomoto did not have (either directly or indirectly) any positions in the securities mentioned in this article. The opinions expressed in this article are those of the writer, subject to the InvestorPlace.com Publishing Guidelines.\nThe post 7 Overlooked Blue-Chip Stocks to Add to Your Buy List appeared first on InvestorPlace.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_publisher': None, 'news_lsa_summary': 'Ticker Company Recent Price CAT Caterpillar $176.73 GM General Motors $31.75 DD DuPont $54.88 DuPont (DD) When the topic of overlooked blue-chip stocks to buy came up, DuPont (NYSE:DD) was among the companies that came immediately to mind. The post 7 Overlooked Blue-Chip Stocks to Add to Your Buy List appeared first on InvestorPlace.', 'news_luhn_summary': 'Ticker Company Recent Price CAT Caterpillar $176.73 GM General Motors $31.75 DD DuPont $54.88 DuPont (DD) When the topic of overlooked blue-chip stocks to buy came up, DuPont (NYSE:DD) was among the companies that came immediately to mind. The post 7 Overlooked Blue-Chip Stocks to Add to Your Buy List appeared first on InvestorPlace.', 'news_article_title': '7 Overlooked Blue-Chip Stocks to Add to Your Buy List', 'news_lexrank_summary': 'DuPont (DD) When the topic of overlooked blue-chip stocks to buy came up, DuPont (NYSE:DD) was among the companies that came immediately to mind. Ticker Company Recent Price CAT Caterpillar $176.73 GM General Motors $31.75 DD DuPont $54.88 The post 7 Overlooked Blue-Chip Stocks to Add to Your Buy List appeared first on InvestorPlace.', 'news_textrank_summary': 'DuPont (DD) When the topic of overlooked blue-chip stocks to buy came up, DuPont (NYSE:DD) was among the companies that came immediately to mind. Ticker Company Recent Price CAT Caterpillar $176.73 GM General Motors $31.75 DD DuPont $54.88 The post 7 Overlooked Blue-Chip Stocks to Add to Your Buy List appeared first on InvestorPlace.'}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 54.5, 'high': 55.27000045776367, 'open': 54.79999923706055, 'close': 54.88999938964844, 'ema_50': 61.854355388704946, 'rsi_14': 44.73683757653773, 'target': 55.540000915527344, 'volume': 1973100.0, 'ema_200': 69.72778647695493, 'adj_close': 53.25034713745117, 'rsi_lag_1': 44.939577104558666, 'rsi_lag_2': 37.444940160385364, 'rsi_lag_3': 31.452168470487436, 'rsi_lag_4': 26.493328032610734, 'rsi_lag_5': 23.100493432970495, 'macd_lag_1': -2.476019903167561, 'macd_lag_2': -2.5702672428665068, 'macd_lag_3': -2.746848343975053, 'macd_lag_4': -2.791766682905859, 'macd_lag_5': -2.7270368341618436, 'macd_12_26_9': -2.4178372268365678, 'macds_12_26_9': -2.5250897203672436}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 55.540000915527344, '2022-07-13': 54.86000061035156, '2022-07-14': 53.4900016784668, '2022-07-15': 54.59999847412109, '2022-07-18': 54.36000061035156, '2022-07-19': 56.560001373291016, '2022-07-20': 57.11000061035156, '2022-07-21': 57.7400016784668, '2022-07-22': 57.2599983215332, '2022-07-25': 58.02999877929688}, '1_month_later': {'2022-08-11': 62.18000030517578}, '3_months_later': {'2022-10-11': 51.79999923706055}, '6_months_later': {'2023-01-11': 74.9000015258789}, '12_months_later': {'2023-07-11': 71.33999633789062}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

DCOMP

{'date': '2022-07-11', 'ticker': 'DCOMP', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 20.520000457763672, 'high': 20.71999931335449, 'open': 20.549999237060547, 'close': 20.541000366210938, 'ema_50': 21.40397550854871, 'rsi_14': 38.16942894711428, 'target': 20.450000762939453, 'volume': 34100.0, 'ema_200': 23.332051955913837, 'adj_close': 18.324678421020508, 'rsi_lag_1': 41.45364916081402, 'rsi_lag_2': 36.742402980620305, 'rsi_lag_3': 48.01094141090707, 'rsi_lag_4': 53.46068706804779, 'rsi_lag_5': 52.8895984486275, 'macd_lag_1': -0.24708112277547656, 'macd_lag_2': -0.24642372146632496, 'macd_lag_3': -0.23334564686132708, 'macd_lag_4': -0.22140479048217188, 'macd_lag_5': -0.24774334247068097, 'macd_12_26_9': -0.2450995066821342, 'macds_12_26_9': -0.24679686996185576}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 20.450000762939453, '2022-07-13': 20.39999961853028, '2022-07-14': 20.25, '2022-07-15': 20.34000015258789, '2022-07-18': 20.350000381469727, '2022-07-19': 20.40999984741211, '2022-07-20': 20.520000457763672, '2022-07-21': 20.440000534057617, '2022-07-22': 20.54199981689453, '2022-07-25': 20.64999961853028}, '1_month_later': {'2022-08-11': 22.46999931335449}, '3_months_later': {'2022-10-11': 19.75}, '6_months_later': {'2023-01-11': 20.7450008392334}, '12_months_later': {'2023-07-11': 15.670000076293944}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

DHF

{'date': '2022-07-11', 'ticker': 'DHF', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 2.220000028610229, 'high': 2.2699999809265137, 'open': 2.2699999809265137, 'close': 2.240000009536743, 'ema_50': 2.389814312628432, 'rsi_14': 45.00000000000002, 'target': 2.25, 'volume': 202800.0, 'ema_200': 2.7363806049033035, 'adj_close': 1.965842604637146, 'rsi_lag_1': 59.090909090909136, 'rsi_lag_2': 40.00000000000006, 'rsi_lag_3': 47.058823529411775, 'rsi_lag_4': 44.444444444444464, 'rsi_lag_5': 39.02439024390249, 'macd_lag_1': -0.046373111781870424, 'macd_lag_2': -0.049248124335834476, 'macd_lag_3': -0.05118316861265848, 'macd_lag_4': -0.05189032546263528, 'macd_lag_5': -0.052038146380785744, 'macd_12_26_9': -0.045187580632226165, 'macds_12_26_9': -0.05038559701933726}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 2.25, '2022-07-13': 2.25, '2022-07-14': 2.2300000190734863, '2022-07-15': 2.240000009536743, '2022-07-18': 2.2300000190734863, '2022-07-19': 2.2799999713897705, '2022-07-20': 2.289999961853028, '2022-07-21': 2.3299999237060547, '2022-07-22': 2.3299999237060547, '2022-07-25': 2.3299999237060547}, '1_month_later': {'2022-08-11': 2.440000057220459}, '3_months_later': {'2022-10-11': 2.069999933242798}, '6_months_later': {'2023-01-11': 2.309999942779541}, '12_months_later': {'2023-07-11': 2.200000047683716}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

DBJP

{'date': '2022-07-11', 'ticker': 'DBJP', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 48.09000015258789, 'high': 48.47999954223633, 'open': 48.47999954223633, 'close': 48.130001068115234, 'ema_50': 48.01431741203122, 'rsi_14': 64.90067898204056, 'target': 47.88999938964844, 'volume': 5200.0, 'ema_200': 48.44694382723208, 'adj_close': 45.60886764526367, 'rsi_lag_1': 71.1340027796152, 'rsi_lag_2': 53.401340463615384, 'rsi_lag_3': 47.30770641528812, 'rsi_lag_4': 46.18319554816559, 'rsi_lag_5': 37.57765630775354, 'macd_lag_1': -0.14415227435489442, 'macd_lag_2': -0.2179235568490938, 'macd_lag_3': -0.2773489658524326, 'macd_lag_4': -0.2738179931659488, 'macd_lag_5': -0.2612555603645532, 'macd_12_26_9': -0.09986808564983818, 'macds_12_26_9': -0.19104956297076559}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 47.88999938964844, '2022-07-13': 47.81999969482422, '2022-07-14': 47.88999938964844, '2022-07-15': 48.27000045776367, '2022-07-18': 48.209999084472656, '2022-07-19': 48.959999084472656, '2022-07-20': 49.09000015258789, '2022-07-21': 49.56999969482422, '2022-07-22': 49.15999984741211, '2022-07-25': 49.43000030517578}, '1_month_later': {'2022-08-11': 49.59000015258789}, '3_months_later': {'2022-10-11': 47.84000015258789}, '6_months_later': {'2023-01-11': 49.41999816894531}, '12_months_later': {'2023-07-11': 57.13999938964844}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

DBGR

{'date': '2022-07-11', 'ticker': 'DBGR', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 25.1299991607666, 'high': 25.170000076293945, 'open': 25.170000076293945, 'close': 25.1299991607666, 'ema_50': 27.044507999252556, 'rsi_14': 31.578941806825185, 'target': 25.040000915527344, 'volume': 300.0, 'ema_200': 29.318754909475484, 'adj_close': 24.39066505432129, 'rsi_lag_1': 41.22560291404917, 'rsi_lag_2': 27.876089763606785, 'rsi_lag_3': 28.19382371550074, 'rsi_lag_4': 24.735713018371897, 'rsi_lag_5': 24.579811981764834, 'macd_lag_1': -0.7590687885876015, 'macd_lag_2': -0.8101582251149431, 'macd_lag_3': -0.8411828743757113, 'macd_lag_4': -0.8176371303503558, 'macd_lag_5': -0.7644912330261917, 'macd_12_26_9': -0.7391090931188664, 'macds_12_26_9': -0.7233677298454777}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 25.040000915527344, '2022-07-13': 24.96999931335449, '2022-07-14': 24.59000015258789, '2022-07-15': 25.049999237060547, '2022-07-18': 25.09000015258789, '2022-07-19': 26.040000915527344, '2022-07-20': 25.82999992370605, '2022-07-21': 25.88999938964844, '2022-07-22': 25.729999542236328, '2022-07-25': 25.799999237060547}, '1_month_later': {'2022-08-11': 26.690000534057617}, '3_months_later': {'2022-10-11': 23.530000686645508}, '6_months_later': {'2023-01-11': 29.64999961853028}, '12_months_later': {'2023-07-11': 30.21999931335449}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

DBEZ

{'date': '2022-07-11', 'ticker': 'DBEZ', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 32.63600158691406, 'high': 32.63600158691406, 'open': 32.63600158691406, 'close': 32.63600158691406, 'ema_50': 34.228796269435406, 'rsi_14': 44.91607212610267, 'target': 32.58399963378906, 'volume': 100.0, 'ema_200': 36.155423299249335, 'adj_close': 32.01177978515625, 'rsi_lag_1': 52.46477675077503, 'rsi_lag_2': 39.204861016030435, 'rsi_lag_3': 40.10880354147573, 'rsi_lag_4': 34.872411868275364, 'rsi_lag_5': 33.64595425299679, 'macd_lag_1': -0.6655589458967128, 'macd_lag_2': -0.7228133644313246, 'macd_lag_3': -0.7746863108506048, 'macd_lag_4': -0.7695541460408251, 'macd_lag_5': -0.7311407334457485, 'macd_12_26_9': -0.6348147327202369, 'macds_12_26_9': -0.6785300497996561}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 32.58399963378906, '2022-07-13': 32.57699966430664, '2022-07-14': 32.15800094604492, '2022-07-15': 32.569000244140625, '2022-07-18': 32.67599868774414, '2022-07-19': 33.67100143432617, '2022-07-20': 33.3489990234375, '2022-07-21': 33.70600128173828, '2022-07-22': 33.527000427246094, '2022-07-25': 33.77000045776367}, '1_month_later': {'2022-08-11': 35.07500076293945}, '3_months_later': {'2022-10-11': 30.85099983215332}, '6_months_later': {'2023-01-11': 38.00199890136719}, '12_months_later': {'2023-07-11': 39.652000427246094}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

DBEU

{'date': '2022-07-11', 'ticker': 'DBEU', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 31.65999984741211, 'high': 31.81999969482422, 'open': 31.75, 'close': 31.65999984741211, 'ema_50': 32.726452154498034, 'rsi_14': 53.6873121488428, 'target': 31.65999984741211, 'volume': 48800.0, 'ema_200': 33.832331886272705, 'adj_close': 30.353246688842773, 'rsi_lag_1': 58.06449628151314, 'rsi_lag_2': 42.608719809497536, 'rsi_lag_3': 43.22582047719783, 'rsi_lag_4': 37.47370872601261, 'rsi_lag_5': 36.032395541906446, 'macd_lag_1': -0.4775574679302039, 'macd_lag_2': -0.525604005473113, 'macd_lag_3': -0.577247493633287, 'macd_lag_4': -0.5899669824190212, 'macd_lag_5': -0.574202202242649, 'macd_12_26_9': -0.44563996141775775, 'macds_12_26_9': -0.5191109955493497}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 31.65999984741211, '2022-07-13': 31.6200008392334, '2022-07-14': 31.239999771118164, '2022-07-15': 31.63999938964844, '2022-07-18': 31.68000030517578, '2022-07-19': 32.5099983215332, '2022-07-20': 32.150001525878906, '2022-07-21': 32.52000045776367, '2022-07-22': 32.34000015258789, '2022-07-25': 32.61000061035156}, '1_month_later': {'2022-08-11': 33.47999954223633}, '3_months_later': {'2022-10-11': 30.18000030517578}, '6_months_later': {'2023-01-11': 35.63999938964844}, '12_months_later': {'2023-07-11': 35.33000183105469}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

DBP

{'date': '2022-07-11', 'ticker': 'DBP', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 44.560001373291016, 'high': 44.77999877929688, 'open': 44.709999084472656, 'close': 44.560001373291016, 'ema_50': 47.857157187344086, 'rsi_14': 6.345095343444569, 'target': 44.36000061035156, 'volume': 5800.0, 'ema_200': 49.12884919147701, 'adj_close': 42.428009033203125, 'rsi_lag_1': 6.203392910894905, 'rsi_lag_2': 16.18619144406466, 'rsi_lag_3': 28.273242721482674, 'rsi_lag_4': 30.04030816015289, 'rsi_lag_5': 27.798484226288608, 'macd_lag_1': -0.897687581603698, 'macd_lag_2': -0.8356893669095413, 'macd_lag_3': -0.7372743767991281, 'macd_lag_4': -0.600937071213842, 'macd_lag_5': -0.4833437634497315, 'macd_12_26_9': -0.9615586647078445, 'macds_12_26_9': -0.6980368204991406}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 44.36000061035156, '2022-07-13': 44.63999938964844, '2022-07-14': 43.77999877929688, '2022-07-15': 43.77999877929688, '2022-07-18': 43.86000061035156, '2022-07-19': 43.970001220703125, '2022-07-20': 43.59999847412109, '2022-07-21': 44.2400016784668, '2022-07-22': 44.16999816894531, '2022-07-25': 43.970001220703125}, '1_month_later': {'2022-08-11': 46.18000030517578}, '3_months_later': {'2022-10-11': 43.11000061035156}, '6_months_later': {'2023-01-11': 48.84999847412109}, '12_months_later': {'2023-07-11': 49.72999954223633}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

DHIL

{'date': '2022-07-11', 'ticker': 'DHIL', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 169.4499969482422, 'high': 176.63999938964844, 'open': 176.63999938964844, 'close': 170.17999267578125, 'ema_50': 176.46836489659248, 'rsi_14': 55.60342755899496, 'target': 174.67999267578125, 'volume': 5000.0, 'ema_200': 180.31560757099786, 'adj_close': 158.21018981933594, 'rsi_lag_1': 63.140045856775416, 'rsi_lag_2': 51.69544701098971, 'rsi_lag_3': 60.120923116788724, 'rsi_lag_4': 57.22752276336364, 'rsi_lag_5': 49.43508678726171, 'macd_lag_1': -0.10942691483850808, 'macd_lag_2': -0.20689370827409448, 'macd_lag_3': -0.3873421480280115, 'macd_lag_4': -0.6629349980698862, 'macd_lag_5': -0.9378486265548531, 'macd_12_26_9': -0.5136410555897157, 'macds_12_26_9': -0.6751754515190065}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 174.67999267578125, '2022-07-13': 173.0, '2022-07-14': 174.27999877929688, '2022-07-15': 179.66000366210938, '2022-07-18': 178.25999450683594, '2022-07-19': 186.2700042724609, '2022-07-20': 187.32000732421875, '2022-07-21': 189.3500061035156, '2022-07-22': 187.1999969482422, '2022-07-25': 186.8300018310547}, '1_month_later': {'2022-08-11': 181.0}, '3_months_later': {'2022-10-11': 165.72999572753906}, '6_months_later': {'2023-01-11': 184.6100006103516}, '12_months_later': {'2023-07-11': 174.55999755859375}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

DHR

{'date': '2022-07-11', 'ticker': 'DHR', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.nasdaq.com/articles/danaher-dhr-gains-as-market-dips%3A-what-you-should-know-3', 'news_author': None, 'news_article': 'Danaher (DHR) closed at $265.30 in the latest trading session, marking a +0.58% move from the prior day. This move outpaced the S&P 500\'s daily loss of 1.15%. At the same time, the Dow lost 0.52%, and the tech-heavy Nasdaq lost 0.34%.\nHeading into today, shares of the industrial and medical device maker had gained 4.88% over the past month, outpacing the Conglomerates sector\'s loss of 8.04% and the S&P 500\'s loss of 5.08% in that time.\nWall Street will be looking for positivity from Danaher as it approaches its next earnings report date. This is expected to be July 21, 2022. In that report, analysts expect Danaher to post earnings of $2.36 per share. This would mark a year-over-year decline of 4.07%. Our most recent consensus estimate is calling for quarterly revenue of $7.31 billion, up 1.26% from the year-ago period.\nLooking at the full year, our Zacks Consensus Estimates suggest analysts are expecting earnings of $10.31 per share and revenue of $30.4 billion. These totals would mark changes of +2.59% and +3.21%, respectively, from last year.\nInvestors should also note any recent changes to analyst estimates for Danaher. These revisions help to show the ever-changing nature of near-term business trends. With this in mind, we can consider positive estimate revisions a sign of optimism about the company\'s business outlook.\nBased on our research, we believe these estimate revisions are directly related to near-team stock moves. Investors can capitalize on this by using the Zacks Rank. This model considers these estimate changes and provides a simple, actionable rating system.\nRanging from #1 (Strong Buy) to #5 (Strong Sell), the Zacks Rank system has a proven, outside-audited track record of outperformance, with #1 stocks returning an average of +25% annually since 1988. Over the past month, the Zacks Consensus EPS estimate remained stagnant. Danaher is currently a Zacks Rank #3 (Hold).\nValuation is also important, so investors should note that Danaher has a Forward P/E ratio of 25.57 right now. Its industry sports an average Forward P/E of 15.49, so we one might conclude that Danaher is trading at a premium comparatively.\nAlso, we should mention that DHR has a PEG ratio of 2.93. This popular metric is similar to the widely-known P/E ratio, with the difference being that the PEG ratio also takes into account the company\'s expected earnings growth rate. The Diversified Operations was holding an average PEG ratio of 1.47 at yesterday\'s closing price.\nThe Diversified Operations industry is part of the Conglomerates sector. This industry currently has a Zacks Industry Rank of 90, which puts it in the top 36% of all 250+ industries.\nThe Zacks Industry Rank includes is listed in order from best to worst in terms of the average Zacks Rank of the individual companies within each of these sectors. Our research shows that the top 50% rated industries outperform the bottom half by a factor of 2 to 1.\nMake sure to utilize Zacks.com to follow all of these stock-moving metrics, and more, in the coming trading sessions.\n\nZacks Names "Single Best Pick to Double"\nFrom thousands of stocks, 5 Zacks experts each have chosen their favorite to skyrocket +100% or more in months to come. From those 5, Director of Research Sheraz Mian hand-picks one to have the most explosive upside of all.\nIt’s a little-known chemical company that’s up 65% over last year, yet still dirt cheap. With unrelenting demand, soaring 2022 earnings estimates, and $1.5 billion for repurchasing shares, retail investors could jump in at any time.\nThis company could rival or surpass other recent Zacks’ Stocks Set to Double like Boston Beer Company which shot up +143.0% in little more than 9 months and NVIDIA which boomed +175.9% in one year.\nFree: See Our Top Stock and 4 Runners Up >>\n\nWant the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report\n \nDanaher Corporation (DHR): Free Stock Analysis Report\n \nTo read this article on Zacks.com click here.\n \nZacks Investment Research\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_publisher': None, 'news_lsa_summary': 'Danaher (DHR) closed at $265.30 in the latest trading session, marking a +0.58% move from the prior day. Also, we should mention that DHR has a PEG ratio of 2.93. Danaher Corporation (DHR): Free Stock Analysis Report', 'news_luhn_summary': 'Danaher (DHR) closed at $265.30 in the latest trading session, marking a +0.58% move from the prior day. Also, we should mention that DHR has a PEG ratio of 2.93. Danaher Corporation (DHR): Free Stock Analysis Report', 'news_article_title': 'Danaher (DHR) Gains As Market Dips: What You Should Know', 'news_lexrank_summary': 'Danaher (DHR) closed at $265.30 in the latest trading session, marking a +0.58% move from the prior day. Also, we should mention that DHR has a PEG ratio of 2.93. Danaher Corporation (DHR): Free Stock Analysis Report', 'news_textrank_summary': 'Danaher (DHR) closed at $265.30 in the latest trading session, marking a +0.58% move from the prior day. Also, we should mention that DHR has a PEG ratio of 2.93. Danaher Corporation (DHR): Free Stock Analysis Report'}, {'news_url': 'https://www.nasdaq.com/articles/noteworthy-etf-outflows%3A-spyg-amd-low-dhr', 'news_author': None, 'news_article': "Looking today at week-over-week shares outstanding changes among the universe of ETFs covered at ETF Channel, one standout is the SPDR Portfolio S&P 500 Growth ETF (Symbol: SPYG) where we have detected an approximate $140.0 million dollar outflow -- that's a 1.1% decrease week over week (from 226,800,000 to 224,250,000). Among the largest underlying components of SPYG, in trading today Advanced Micro Devices Inc (Symbol: AMD) is off about 3.4%, Lowe's Companies Inc (Symbol: LOW) is off about 0.2%, and Danaher Corp (Symbol: DHR) is lower by about 0.3%. For a complete list of holdings, visit the SPYG Holdings page » The chart below shows the one year price performance of SPYG, versus its 200 day moving average:\nLooking at the chart above, SPYG's low point in its 52 week range is $50.01 per share, with $73.64 as the 52 week high point — that compares with a last trade of $54.02. Comparing the most recent share price to the 200 day moving average can also be a useful technical analysis technique -- learn more about the 200 day moving average ».\nExchange traded funds (ETFs) trade just like stocks, but instead of ''shares'' investors are actually buying and selling ''units''. These ''units'' can be traded back and forth just like stocks, but can also be created or destroyed to accommodate investor demand. Each week we monitor the week-over-week change in shares outstanding data, to keep a lookout for those ETFs experiencing notable inflows (many new units created) or outflows (many old units destroyed). Creation of new units will mean the underlying holdings of the ETF need to be purchased, while destruction of units involves selling underlying holdings, so large flows can also impact the individual components held within ETFs.\nClick here to find out which 9 other ETFs experienced notable outflows »\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.", 'news_publisher': None, 'news_lsa_summary': "Among the largest underlying components of SPYG, in trading today Advanced Micro Devices Inc (Symbol: AMD) is off about 3.4%, Lowe's Companies Inc (Symbol: LOW) is off about 0.2%, and Danaher Corp (Symbol: DHR) is lower by about 0.3%. For a complete list of holdings, visit the SPYG Holdings page » The chart below shows the one year price performance of SPYG, versus its 200 day moving average: Looking at the chart above, SPYG's low point in its 52 week range is $50.01 per share, with $73.64 as the 52 week high point — that compares with a last trade of $54.02. These ''units'' can be traded back and forth just like stocks, but can also be created or destroyed to accommodate investor demand.", 'news_luhn_summary': "Among the largest underlying components of SPYG, in trading today Advanced Micro Devices Inc (Symbol: AMD) is off about 3.4%, Lowe's Companies Inc (Symbol: LOW) is off about 0.2%, and Danaher Corp (Symbol: DHR) is lower by about 0.3%. For a complete list of holdings, visit the SPYG Holdings page » The chart below shows the one year price performance of SPYG, versus its 200 day moving average: Looking at the chart above, SPYG's low point in its 52 week range is $50.01 per share, with $73.64 as the 52 week high point — that compares with a last trade of $54.02. Each week we monitor the week-over-week change in shares outstanding data, to keep a lookout for those ETFs experiencing notable inflows (many new units created) or outflows (many old units destroyed).", 'news_article_title': 'Noteworthy ETF Outflows: SPYG, AMD, LOW, DHR', 'news_lexrank_summary': "Among the largest underlying components of SPYG, in trading today Advanced Micro Devices Inc (Symbol: AMD) is off about 3.4%, Lowe's Companies Inc (Symbol: LOW) is off about 0.2%, and Danaher Corp (Symbol: DHR) is lower by about 0.3%. Looking today at week-over-week shares outstanding changes among the universe of ETFs covered at ETF Channel, one standout is the SPDR Portfolio S&P 500 Growth ETF (Symbol: SPYG) where we have detected an approximate $140.0 million dollar outflow -- that's a 1.1% decrease week over week (from 226,800,000 to 224,250,000). For a complete list of holdings, visit the SPYG Holdings page » The chart below shows the one year price performance of SPYG, versus its 200 day moving average: Looking at the chart above, SPYG's low point in its 52 week range is $50.01 per share, with $73.64 as the 52 week high point — that compares with a last trade of $54.02.", 'news_textrank_summary': "Among the largest underlying components of SPYG, in trading today Advanced Micro Devices Inc (Symbol: AMD) is off about 3.4%, Lowe's Companies Inc (Symbol: LOW) is off about 0.2%, and Danaher Corp (Symbol: DHR) is lower by about 0.3%. Looking today at week-over-week shares outstanding changes among the universe of ETFs covered at ETF Channel, one standout is the SPDR Portfolio S&P 500 Growth ETF (Symbol: SPYG) where we have detected an approximate $140.0 million dollar outflow -- that's a 1.1% decrease week over week (from 226,800,000 to 224,250,000). For a complete list of holdings, visit the SPYG Holdings page » The chart below shows the one year price performance of SPYG, versus its 200 day moving average: Looking at the chart above, SPYG's low point in its 52 week range is $50.01 per share, with $73.64 as the 52 week high point — that compares with a last trade of $54.02."}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 231.7021331787109, 'high': 235.5407867431641, 'open': 231.7996520996093, 'close': 235.19503784179688, 'ema_50': 228.68276003097822, 'rsi_14': 82.02974175114637, 'target': 224.0248260498047, 'volume': 1907335.0, 'ema_200': 241.39338136307882, 'adj_close': 233.56756591796875, 'rsi_lag_1': 77.02288709447525, 'rsi_lag_2': 70.04548836807015, 'rsi_lag_3': 69.45672237731173, 'rsi_lag_4': 63.86714770191307, 'rsi_lag_5': 56.94943186493808, 'macd_lag_1': 1.3867434931202638, 'macd_lag_2': 0.8855617190451426, 'macd_lag_3': 0.26097291838334513, 'macd_lag_4': -0.23222496926851477, 'macd_lag_5': -0.44944918481274954, 'macd_12_26_9': 1.872512734271993, 'macds_12_26_9': 0.2566832064304223}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 224.0248260498047, '2022-07-13': 222.59751892089844, '2022-07-14': 219.91134643554688, '2022-07-15': 226.7553253173828, '2022-07-18': 219.0248260498047, '2022-07-19': 226.72872924804688, '2022-07-20': 226.95034790039065, '2022-07-21': 247.54432678222656, '2022-07-22': 242.7659606933593, '2022-07-25': 242.358154296875}, '1_month_later': {'2022-08-11': 258.1383056640625}, '3_months_later': {'2022-10-11': 225.30142211914065}, '6_months_later': {'2023-01-11': 242.73936462402344}, '12_months_later': {'2023-07-11': 210.70034790039065}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

DMB

{'date': '2022-07-11', 'ticker': 'DMB', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 12.619999885559082, 'high': 13.039999961853027, 'open': 12.619999885559082, 'close': 12.880000114440918, 'ema_50': 12.524128621214324, 'rsi_14': 53.00751394478875, 'target': 13.050000190734863, 'volume': 67700.0, 'ema_200': 13.121495306501922, 'adj_close': 12.09068489074707, 'rsi_lag_1': 46.747971892205385, 'rsi_lag_2': 36.1635256905664, 'rsi_lag_3': 51.49052295977045, 'rsi_lag_4': 53.263707636814914, 'rsi_lag_5': 50.74627396789057, 'macd_lag_1': 0.18302575483362737, 'macd_lag_2': 0.22931416488065537, 'macd_lag_3': 0.2738595644443702, 'macd_lag_4': 0.302295843334905, 'macd_lag_5': 0.3453939073606538, 'macd_12_26_9': 0.16541490191745467, 'macds_12_26_9': 0.2719829378425019}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 13.050000190734863, '2022-07-13': 12.989999771118164, '2022-07-14': 13.390000343322754, '2022-07-15': 13.84000015258789, '2022-07-18': 13.68000030517578, '2022-07-19': 13.489999771118164, '2022-07-20': 13.5, '2022-07-21': 13.18000030517578, '2022-07-22': 13.260000228881836, '2022-07-25': 13.149999618530272}, '1_month_later': {'2022-08-11': 14.039999961853027}, '3_months_later': {'2022-10-11': 11.31999969482422}, '6_months_later': {'2023-01-11': 11.029999732971191}, '12_months_later': {'2023-07-11': 10.859999656677246}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

DMDV

{'date': '2022-07-11', 'ticker': 'DMDV', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 20.242000579833984, 'high': 20.242000579833984, 'open': 20.242000579833984, 'close': 20.242000579833984, 'ema_50': 21.752911195540538, 'rsi_14': 36.69012776613012, 'target': 20.26700019836425, 'volume': 100.0, 'ema_200': 22.899296165683992, 'adj_close': 18.456722259521484, 'rsi_lag_1': 38.847516935086, 'rsi_lag_2': 31.258419250602714, 'rsi_lag_3': 34.561175639712985, 'rsi_lag_4': 34.683396073718995, 'rsi_lag_5': 33.47812527185482, 'macd_lag_1': -0.4931768919481918, 'macd_lag_2': -0.5035106253219439, 'macd_lag_3': -0.5030636806763802, 'macd_lag_4': -0.4671759657231149, 'macd_lag_5': -0.4313749978077581, 'macd_12_26_9': -0.5031526387542833, 'macds_12_26_9': -0.46161236451711835}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 20.26700019836425, '2022-07-13': 20.20599937438965, '2022-07-14': 19.82099914550781, '2022-07-15': 20.09000015258789, '2022-07-18': 20.28400039672852, '2022-07-19': 20.788000106811523, '2022-07-20': 20.62299919128418, '2022-07-21': 20.71699905395508, '2022-07-22': 20.621999740600582, '2022-07-25': 20.770000457763672}, '1_month_later': {'2022-08-11': 21.350000381469727}, '3_months_later': {'2022-10-11': 17.378999710083008}, '6_months_later': {'2023-01-11': 21.520000457763672}, '12_months_later': {'2023-07-11': 22.06599998474121}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

DMO

{'date': '2022-07-11', 'ticker': 'DMO', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 11.90999984741211, 'high': 12.390000343322754, 'open': 11.90999984741211, 'close': 12.020000457763672, 'ema_50': 12.070977640107118, 'rsi_14': 76.5305963569697, 'target': 12.0600004196167, 'volume': 46900.0, 'ema_200': 13.536179564812164, 'adj_close': 10.125603675842283, 'rsi_lag_1': 76.28863850873077, 'rsi_lag_2': 52.58617996464834, 'rsi_lag_3': 61.87048977648368, 'rsi_lag_4': 57.34265221262251, 'rsi_lag_5': 41.31737176657495, 'macd_lag_1': -0.06728064584262228, 'macd_lag_2': -0.08951278794486583, 'macd_lag_3': -0.10335070620581632, 'macd_lag_4': -0.12154604912273648, 'macd_lag_5': -0.13892925725169292, 'macd_12_26_9': -0.040320592420028945, 'macds_12_26_9': -0.10290454186307442}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 12.0600004196167, '2022-07-13': 11.869999885559082, '2022-07-14': 11.800000190734863, '2022-07-15': 11.84000015258789, '2022-07-18': 11.729999542236328, '2022-07-19': 11.649999618530272, '2022-07-20': 11.880000114440918, '2022-07-21': 11.81999969482422, '2022-07-22': 11.960000038146973, '2022-07-25': 12.029999732971191}, '1_month_later': {'2022-08-11': 12.5600004196167}, '3_months_later': {'2022-10-11': 10.8100004196167}, '6_months_later': {'2023-01-11': 11.15999984741211}, '12_months_later': {'2023-07-11': 10.630000114440918}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

DMRC

{'date': '2022-07-11', 'ticker': 'DMRC', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 14.520000457763672, 'high': 15.979999542236328, 'open': 15.979999542236328, 'close': 15.130000114440918, 'ema_50': 17.872037059156742, 'rsi_14': 49.04306274677473, 'target': 14.529999732971191, 'volume': 73000.0, 'ema_200': 26.519030996599227, 'adj_close': 15.130000114440918, 'rsi_lag_1': 57.242342145260594, 'rsi_lag_2': 44.92979853809565, 'rsi_lag_3': 38.60869651751196, 'rsi_lag_4': 45.192306634236836, 'rsi_lag_5': 31.825516105002762, 'macd_lag_1': -0.8006381026795246, 'macd_lag_2': -0.9876610319266383, 'macd_lag_3': -1.0867680023099577, 'macd_lag_4': -1.0752752020767975, 'macd_lag_5': -1.1142021408109528, 'macd_12_26_9': -0.7399148271725693, 'macds_12_26_9': -0.9848488614709437}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 14.529999732971191, '2022-07-13': 14.15999984741211, '2022-07-14': 13.579999923706056, '2022-07-15': 14.149999618530272, '2022-07-18': 13.079999923706056, '2022-07-19': 13.579999923706056, '2022-07-20': 14.81999969482422, '2022-07-21': 15.93000030517578, '2022-07-22': 15.210000038146973, '2022-07-25': 14.850000381469728}, '1_month_later': {'2022-08-11': 19.38999938964844}, '3_months_later': {'2022-10-11': 13.170000076293944}, '6_months_later': {'2023-01-11': 20.06999969482422}, '12_months_later': {'2023-07-11': 28.6299991607666}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

DMTK

{'date': '2022-07-11', 'ticker': 'DMTK', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 5.800000190734863, 'high': 6.53000020980835, 'open': 6.360000133514404, 'close': 5.849999904632568, 'ema_50': 7.003266685876208, 'rsi_14': 62.41134407994271, 'target': 5.980000019073486, 'volume': 225200.0, 'ema_200': 14.91086671529738, 'adj_close': 5.849999904632568, 'rsi_lag_1': 74.02912433145875, 'rsi_lag_2': 67.87330546173743, 'rsi_lag_3': 66.35071122178553, 'rsi_lag_4': 64.07322559578725, 'rsi_lag_5': 54.004575235786135, 'macd_lag_1': -0.15370627365441614, 'macd_lag_2': -0.21411792713483635, 'macd_lag_3': -0.2830198423128456, 'macd_lag_4': -0.3301925300213071, 'macd_lag_5': -0.38559923280525066, 'macd_12_26_9': -0.14610504762652265, 'macds_12_26_9': -0.31399667937919284}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 5.980000019073486, '2022-07-13': 6.650000095367432, '2022-07-14': 6.360000133514404, '2022-07-15': 6.309999942779541, '2022-07-18': 6.320000171661377, '2022-07-19': 7.610000133514404, '2022-07-20': 7.730000019073486, '2022-07-21': 7.480000019073486, '2022-07-22': 7.239999771118164, '2022-07-25': 7.599999904632568}, '1_month_later': {'2022-08-11': 6.269999980926514}, '3_months_later': {'2022-10-11': 3.470000028610229}, '6_months_later': {'2023-01-11': 3.140000104904175}, '12_months_later': {'2023-07-11': 3.190000057220459}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

DMXF

{'date': '2022-07-11', 'ticker': 'DMXF', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 51.20600128173828, 'high': 51.555999755859375, 'open': 51.34000015258789, 'close': 51.290000915527344, 'ema_50': 54.50500225068325, 'rsi_14': 52.57717842914526, 'target': 51.34999847412109, 'volume': 14000.0, 'ema_200': 60.4609295781758, 'adj_close': 49.810489654541016, 'rsi_lag_1': 58.28425574905947, 'rsi_lag_2': 47.49405934965036, 'rsi_lag_3': 50.31202700186969, 'rsi_lag_4': 45.92803282589622, 'rsi_lag_5': 40.248960356840264, 'macd_lag_1': -0.9729432303397445, 'macd_lag_2': -1.0513291712884367, 'macd_lag_3': -1.1298750822577048, 'macd_lag_4': -1.1321374501280488, 'macd_lag_5': -1.103182955503435, 'macd_12_26_9': -0.9627439248047125, 'macds_12_26_9': -1.0806964330237716}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 51.34999847412109, '2022-07-13': 51.24300003051758, '2022-07-14': 50.31999969482422, '2022-07-15': 51.40999984741211, '2022-07-18': 51.56999969482422, '2022-07-19': 52.90999984741211, '2022-07-20': 52.97999954223633, '2022-07-21': 53.52000045776367, '2022-07-22': 53.30099868774414, '2022-07-25': 53.68000030517578}, '1_month_later': {'2022-08-11': 55.70000076293945}, '3_months_later': {'2022-10-11': 46.16999816894531}, '6_months_later': {'2023-01-11': 57.11000061035156}, '12_months_later': {'2023-07-11': 60.0099983215332}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

DNL

{'date': '2022-07-11', 'ticker': 'DNL', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 30.559999465942383, 'high': 30.82999992370605, 'open': 30.75, 'close': 30.6200008392334, 'ema_50': 34.11068544619302, 'rsi_14': 32.023556718202684, 'target': 30.459999084472656, 'volume': 59200.0, 'ema_200': 38.03810675906164, 'adj_close': 29.59290885925293, 'rsi_lag_1': 35.35789719751844, 'rsi_lag_2': 28.849530336149456, 'rsi_lag_3': 29.842928277337236, 'rsi_lag_4': 26.56514791961763, 'rsi_lag_5': 23.932917167006366, 'macd_lag_1': -1.1000326028421625, 'macd_lag_2': -1.1433480731132342, 'macd_lag_3': -1.1840402570771502, 'macd_lag_4': -1.149519482524802, 'macd_lag_5': -1.074483654495232, 'macd_12_26_9': -1.114186643488928, 'macds_12_26_9': -1.0626007222225862}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 30.459999084472656, '2022-07-13': 30.6200008392334, '2022-07-14': 30.239999771118164, '2022-07-15': 30.71999931335449, '2022-07-18': 31.040000915527344, '2022-07-19': 31.700000762939453, '2022-07-20': 31.59000015258789, '2022-07-21': 32.08000183105469, '2022-07-22': 31.959999084472656, '2022-07-25': 32.36000061035156}, '1_month_later': {'2022-08-11': 33.90999984741211}, '3_months_later': {'2022-10-11': 27.559999465942383}, '6_months_later': {'2023-01-11': 34.439998626708984}, '12_months_later': {'2023-07-11': 35.369998931884766}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

DNN

{'date': '2022-07-11', 'ticker': 'DNN', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 0.9900000095367432, 'high': 1.0499999523162842, 'open': 1.0299999713897705, 'close': 1.0, 'ema_50': 1.1540781049158797, 'rsi_14': 50.0, 'target': 0.9800000190734864, 'volume': 2817800.0, 'ema_200': 1.301135116082643, 'adj_close': 1.0, 'rsi_lag_1': 53.968251715621015, 'rsi_lag_2': 47.826079820488026, 'rsi_lag_3': 43.75000058207667, 'rsi_lag_4': 39.99999659402023, 'rsi_lag_5': 37.837833483955855, 'macd_lag_1': -0.05036322398457682, 'macd_lag_2': -0.05663275108572008, 'macd_lag_3': -0.06279301754094635, 'macd_lag_4': -0.059560590111777945, 'macd_lag_5': -0.05558668227499952, 'macd_12_26_9': -0.04886586163729256, 'macds_12_26_9': -0.05410584635358299}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 0.9800000190734864, '2022-07-13': 0.9800000190734864, '2022-07-14': 1.0499999523162842, '2022-07-15': 1.0399999618530271, '2022-07-18': 1.0700000524520874, '2022-07-19': 1.159999966621399, '2022-07-20': 1.190000057220459, '2022-07-21': 1.1299999952316284, '2022-07-22': 1.0499999523162842, '2022-07-25': 1.1200000047683716}, '1_month_later': {'2022-08-11': 1.2100000381469729}, '3_months_later': {'2022-10-11': 1.1200000047683716}, '6_months_later': {'2023-01-11': 1.350000023841858}, '12_months_later': {'2023-07-11': 1.2400000095367432}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

DNOV

{'date': '2022-07-11', 'ticker': 'DNOV', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 32.41999816894531, 'high': 32.56999969482422, 'open': 32.45000076293945, 'close': 32.52000045776367, 'ema_50': 32.849129767097196, 'rsi_14': 66.66666666666666, 'target': 32.41999816894531, 'volume': 96600.0, 'ema_200': 33.74814485577696, 'adj_close': 32.52000045776367, 'rsi_lag_1': 73.55372421924753, 'rsi_lag_2': 63.57131568765293, 'rsi_lag_3': 61.36357725174911, 'rsi_lag_4': 61.59694824785333, 'rsi_lag_5': 48.17069341291458, 'macd_lag_1': -0.0934239047687413, 'macd_lag_2': -0.1120863673816288, 'macd_lag_3': -0.13529411978353778, 'macd_lag_4': -0.1425840225167505, 'macd_lag_5': -0.15592387059469104, 'macd_12_26_9': -0.084917156719861, 'macds_12_26_9': -0.13423274427819232}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 32.41999816894531, '2022-07-13': 32.417999267578125, '2022-07-14': 32.380001068115234, '2022-07-15': 32.58000183105469, '2022-07-18': 32.5099983215332, '2022-07-19': 32.70000076293945, '2022-07-20': 32.7599983215332, '2022-07-21': 32.82899856567383, '2022-07-22': 32.790000915527344, '2022-07-25': 32.790000915527344}, '1_month_later': {'2022-08-11': 33.27000045776367}, '3_months_later': {'2022-10-11': 32.61000061035156}, '6_months_later': {'2023-01-11': 33.290000915527344}, '12_months_later': {'2023-07-11': 36.290000915527344}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

DNP

{'date': '2022-07-11', 'ticker': 'DNP', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 10.869999885559082, 'high': 11.029999732971191, 'open': 10.899999618530272, 'close': 10.989999771118164, 'ema_50': 11.00060016239616, 'rsi_14': 76.66668997872034, 'target': 11.0600004196167, 'volume': 428600.0, 'ema_200': 11.05489224297342, 'adj_close': 9.819795608520508, 'rsi_lag_1': 65.03067556451109, 'rsi_lag_2': 52.38095718656908, 'rsi_lag_3': 56.521751149016474, 'rsi_lag_4': 53.669720757199805, 'rsi_lag_5': 46.15383988379846, 'macd_lag_1': -0.04894708279369553, 'macd_lag_2': -0.062361120408867876, 'macd_lag_3': -0.07144799774055066, 'macd_lag_4': -0.07895239566515144, 'macd_lag_5': -0.10367323136119744, 'macd_12_26_9': -0.030700208298513942, 'macds_12_26_9': -0.08912885842681811}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 11.0600004196167, '2022-07-13': 11.010000228881836, '2022-07-14': 10.859999656677246, '2022-07-15': 10.920000076293944, '2022-07-18': 10.869999885559082, '2022-07-19': 10.970000267028809, '2022-07-20': 10.93000030517578, '2022-07-21': 10.960000038146973, '2022-07-22': 10.979999542236328, '2022-07-25': 11.100000381469728}, '1_month_later': {'2022-08-11': 11.390000343322754}, '3_months_later': {'2022-10-11': 10.170000076293944}, '6_months_later': {'2023-01-11': 11.479999542236328}, '12_months_later': {'2023-07-11': 10.329999923706056}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

DOC

{'date': '2022-07-11', 'ticker': 'DOC', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 16.5, 'high': 16.760000228881836, 'open': 16.690000534057617, 'close': 16.610000610351562, 'ema_50': 17.44474716944308, 'rsi_14': 41.06282641466318, 'target': 16.600000381469727, 'volume': 1744700.0, 'ema_200': 17.7599931441274, 'adj_close': 15.293399810791016, 'rsi_lag_1': 43.50004196166992, 'rsi_lag_2': 46.666686229228226, 'rsi_lag_3': 61.53849680748341, 'rsi_lag_4': 56.637192788197396, 'rsi_lag_5': 41.830069026043404, 'macd_lag_1': -0.19677642041673948, 'macd_lag_2': -0.1665659546337288, 'macd_lag_3': -0.13474728904859745, 'macd_lag_4': -0.11661148110217923, 'macd_lag_5': -0.10093108022529762, 'macd_12_26_9': -0.22538262178745683, 'macds_12_26_9': -0.16754768932136632}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 16.600000381469727, '2022-07-13': 16.469999313354492, '2022-07-14': 16.59000015258789, '2022-07-15': 16.829999923706055, '2022-07-18': 16.709999084472656, '2022-07-19': 16.809999465942383, '2022-07-20': 16.649999618530273, '2022-07-21': 16.56999969482422, '2022-07-22': 16.760000228881836, '2022-07-25': 17.170000076293945}, '1_month_later': {'2022-08-11': 17.899999618530273}, '3_months_later': {'2022-10-11': 13.770000457763672}, '6_months_later': {'2023-01-11': 15.170000076293944}, '12_months_later': {'2023-07-11': 14.31999969482422}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

DOCU

{'date': '2022-07-11', 'ticker': 'DOCU', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.nasdaq.com/articles/3-companies-that-might-acquire-docusign', 'news_author': None, 'news_article': "DocuSign (NASDAQ: DOCU), the maker of digital signature software, is having a horrible year. The company's stock is down nearly 79% from last year's all-time high. Moreover, chief executive officer Dan Springer stepped down on June 21, less than two weeks after the company reported dismal fiscal 2023 first-quarter earnings results (for the quarter ending April 30).\nWith its stock price languishing and its leadership in flux, some analysts think that DocuSign could be an acquisition target. There are at least three companies out there that are potential candidates. Let's explore which companies might consider putting in an offer for DocuSign and the business case for each.\n1. Microsoft\nAs one of the world's largest corporations, Microsoft (NASDAQ: MSFT) has more than enough resources to swallow up DocuSign without missing a beat. That said, Washington-based Microsoft is already in the midst of an increasingly challenging acquisition of Activision Blizzard that might preclude it from taking on another purchase right now.\nLast Wednesday, the U.K.'s Competition and Markets Authority (CMA) announced it was investigating Microsoft's Activision acquisition and would render an initial decision before the end of August. If the initial decision goes against Microsoft, it's possible it might table the Activision deal in favor of gobbling up the much smaller DocuSign. After all, Microsoft already has a strategic partnership with DocuSign.\nIn terms of likelihood, I'd rank this scenario as a 7 out of 10.\n2. Adobe\nAnother potential bidder for DocuSign is Adobe (NASDAQ: ADBE). Yet the more you dig under the hood here, the less this deal makes sense. Adobe has its own similar product offering -- Adobe Sign -- that is compatible with Windows, MacOS, iOS, and Android. Moreover, Adobe has only $5.3 billion in cash on hand. Therefore, it would likely need to raise funds via debt offering or dilute its own shares to complete the acquisition.\nMSFT Cash and Short Term Investments (Quarterly) data by YCharts\nI think the likelihood of Adobe putting in an offer is low; I rank it as 2 out of 10.\n3. Zoom Video Communications\nThe business case for Zoom Video Communications (NASDAQ: ZM) makes a great deal of sense. A combined Zoom/DocuSign company would address some of the most critical applications necessary for remote work: video conferencing and digital signatures.\nZM Market Cap data by YCharts\nHowever, unlike Microsoft or Adobe, Zoom would likely be gambling its future on the deal. After peaking at $119 billion in 2021, Zoom's market cap is now only $36 billion; it has less than $5.7 billion of cash on hand. To complete a deal for DocuSign, which has a market cap of $13 billion, Zoom would need to raise more cash or issue stock -- either of which may drive its stock lower.\nWhile the business case is strong, I don't see a deal here in the near term; I rank it 4 out of 10.\nIs DocuSign stock a buy now?\nThe prospect of an acquisition does raise DocuSign's appeal as a stock, and investors with a high appetite for risk might be enticed to jump in with both feet right now.\nHowever, when I think of DocuSign, only one word comes to mind: uncertainty. Its CEO has just stepped down; its most recent earnings report disappointed Wall Street. For me, this is a situation that can be safely avoided until some clarity emerges. In a few months, DocuSign may have a new strategy that is more appealing. But for now, I view it as a wait-and-see story.\n10 stocks we like better than DocuSign\nWhen our award-winning analyst team has a stock tip, it can pay to listen. After all, the newsletter they have run for over a decade, Motley Fool Stock Advisor, has tripled the market.*\nThey just revealed what they believe are the ten best stocks for investors to buy right now... and DocuSign wasn't one of them! That's right -- they think these 10 stocks are even better buys.\nSee the 10 stocks\n*Stock Advisor returns as of June 2, 2022\nJake Lerch has positions in Activision Blizzard and Adobe Inc. The Motley Fool has positions in and recommends Activision Blizzard, Adobe Inc., DocuSign, Microsoft, and Zoom Video Communications. The Motley Fool recommends the following options: long January 2024 $420 calls on Adobe Inc., long January 2024 $60 calls on DocuSign, and short January 2024 $430 calls on Adobe Inc. The Motley Fool has a disclosure policy.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.", 'news_publisher': None, 'news_lsa_summary': "DocuSign (NASDAQ: DOCU), the maker of digital signature software, is having a horrible year. With its stock price languishing and its leadership in flux, some analysts think that DocuSign could be an acquisition target. Let's explore which companies might consider putting in an offer for DocuSign and the business case for each.", 'news_luhn_summary': 'The Motley Fool has positions in and recommends Activision Blizzard, Adobe Inc., DocuSign, Microsoft, and Zoom Video Communications. The Motley Fool recommends the following options: long January 2024 $420 calls on Adobe Inc., long January 2024 $60 calls on DocuSign, and short January 2024 $430 calls on Adobe Inc. DocuSign (NASDAQ: DOCU), the maker of digital signature software, is having a horrible year.', 'news_article_title': '3 Companies That Might Acquire DocuSign', 'news_lexrank_summary': 'To complete a deal for DocuSign, which has a market cap of $13 billion, Zoom would need to raise more cash or issue stock -- either of which may drive its stock lower. The Motley Fool has positions in and recommends Activision Blizzard, Adobe Inc., DocuSign, Microsoft, and Zoom Video Communications. DocuSign (NASDAQ: DOCU), the maker of digital signature software, is having a horrible year.', 'news_textrank_summary': 'To complete a deal for DocuSign, which has a market cap of $13 billion, Zoom would need to raise more cash or issue stock -- either of which may drive its stock lower. The Motley Fool has positions in and recommends Activision Blizzard, Adobe Inc., DocuSign, Microsoft, and Zoom Video Communications. The Motley Fool recommends the following options: long January 2024 $420 calls on Adobe Inc., long January 2024 $60 calls on DocuSign, and short January 2024 $430 calls on Adobe Inc.'}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 62.54199981689453, 'high': 66.08000183105469, 'open': 65.9800033569336, 'close': 63.11000061035156, 'ema_50': 74.16668280030706, 'rsi_14': 53.32986662948561, 'target': 62.79999923706055, 'volume': 3386300.0, 'ema_200': 128.43957324479504, 'adj_close': 63.11000061035156, 'rsi_lag_1': 62.40988096946346, 'rsi_lag_2': 58.40963340667357, 'rsi_lag_3': 58.23856430787383, 'rsi_lag_4': 57.39151283494685, 'rsi_lag_5': 44.72564510245003, 'macd_lag_1': -3.1091886355736165, 'macd_lag_2': -3.533986070138326, 'macd_lag_3': -4.126596816508005, 'macd_lag_4': -4.480851244216645, 'macd_lag_5': -4.993069401100328, 'macd_12_26_9': -3.0073762378908526, 'macds_12_26_9': -3.952860800993502}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 62.79999923706055, '2022-07-13': 61.70000076293945, '2022-07-14': 60.22999954223633, '2022-07-15': 63.43000030517578, '2022-07-18': 62.060001373291016, '2022-07-19': 64.06999969482422, '2022-07-20': 67.66000366210938, '2022-07-21': 67.4800033569336, '2022-07-22': 64.44999694824219, '2022-07-25': 63.400001525878906}, '1_month_later': {'2022-08-11': 72.33999633789062}, '3_months_later': {'2022-10-11': 44.540000915527344}, '6_months_later': {'2023-01-11': 59.59999847412109}, '12_months_later': {'2023-07-11': 51.7599983215332}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

DOG

{'date': '2022-07-11', 'ticker': 'DOG', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 35.560001373291016, 'high': 35.84000015258789, 'open': 35.790000915527344, 'close': 35.77000045776367, 'ema_50': 35.18289869031629, 'rsi_14': 31.724145793268065, 'target': 35.97999954223633, 'volume': 541800.0, 'ema_200': 34.28206752850519, 'adj_close': 34.150733947753906, 'rsi_lag_1': 30.28169644696051, 'rsi_lag_2': 41.1881301800536, 'rsi_lag_3': 41.51695330161275, 'rsi_lag_4': 43.984223578557064, 'rsi_lag_5': 52.02703791171439, 'macd_lag_1': 0.20306122376867108, 'macd_lag_2': 0.24629666054398314, 'macd_lag_3': 0.30400753370074796, 'macd_lag_4': 0.33353663709370096, 'macd_lag_5': 0.3572114169849385, 'macd_12_26_9': 0.18123221675054424, 'macds_12_26_9': 0.3032705627644534}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 35.97999954223633, '2022-07-13': 36.22999954223633, '2022-07-14': 36.400001525878906, '2022-07-15': 35.630001068115234, '2022-07-18': 35.880001068115234, '2022-07-19': 35.0099983215332, '2022-07-20': 34.939998626708984, '2022-07-21': 34.7599983215332, '2022-07-22': 34.91999816894531, '2022-07-25': 34.810001373291016}, '1_month_later': {'2022-08-11': 33.400001525878906}, '3_months_later': {'2022-10-11': 37.90999984741211}, '6_months_later': {'2023-01-11': 32.529998779296875}, '12_months_later': {'2023-07-11': 32.5099983215332}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

DOGZ

{'date': '2022-07-11', 'ticker': 'DOGZ', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 32.400001525878906, 'high': 36.79999923706055, 'open': 36.20000076293945, 'close': 32.599998474121094, 'ema_50': 57.78664923554632, 'rsi_14': 26.271194796625807, 'target': 32.79999923706055, 'volume': 17945.0, 'ema_200': 71.79926182855951, 'adj_close': 32.599998474121094, 'rsi_lag_1': 36.11111503569566, 'rsi_lag_2': 31.355935627959738, 'rsi_lag_3': 20.952384412423186, 'rsi_lag_4': 30.476192206211593, 'rsi_lag_5': 28.31858795450384, 'macd_lag_1': -8.085896216245288, 'macd_lag_2': -8.49339643116079, 'macd_lag_3': -8.849247147473854, 'macd_lag_4': -8.869271194150166, 'macd_lag_5': -8.9694579418112, 'macd_12_26_9': -7.961662370433807, 'macds_12_26_9': -8.776978231482083}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 32.79999923706055, '2022-07-13': 36.0, '2022-07-14': 33.400001525878906, '2022-07-15': 34.0, '2022-07-18': 33.400001525878906, '2022-07-19': 33.599998474121094, '2022-07-20': 33.79999923706055, '2022-07-21': 33.599998474121094, '2022-07-22': 33.599998474121094, '2022-07-25': 34.20000076293945}, '1_month_later': {'2022-08-11': 35.400001525878906}, '3_months_later': {'2022-10-11': 21.18000030517578}, '6_months_later': {'2023-01-11': 19.902000427246094}, '12_months_later': {'2023-07-11': 13.600000381469728}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

DRIO

{'date': '2022-07-11', 'ticker': 'DRIO', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 6.010000228881836, 'high': 6.699999809265137, 'open': 6.679999828338623, 'close': 6.019999980926514, 'ema_50': 6.165445457685748, 'rsi_14': 57.32984368351039, 'target': 6.119999885559082, 'volume': 168800.0, 'ema_200': 9.049084422266635, 'adj_close': 6.019999980926514, 'rsi_lag_1': 60.49724382772316, 'rsi_lag_2': 56.89149379685084, 'rsi_lag_3': 51.19048244153174, 'rsi_lag_4': 45.098039477584045, 'rsi_lag_5': 35.03835796260962, 'macd_lag_1': 0.04614551226538666, 'macd_lag_2': -0.012130577615279137, 'macd_lag_3': -0.060881069388562636, 'macd_lag_4': -0.09981890287765971, 'macd_lag_5': -0.1368658127131468, 'macd_12_26_9': 0.03304392290374558, 'macds_12_26_9': -0.041185922847917646}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 6.119999885559082, '2022-07-13': 6.190000057220459, '2022-07-14': 6.199999809265137, '2022-07-15': 6.139999866485596, '2022-07-18': 6.179999828338623, '2022-07-19': 6.389999866485596, '2022-07-20': 6.539999961853027, '2022-07-21': 6.510000228881836, '2022-07-22': 6.179999828338623, '2022-07-25': 6.190000057220459}, '1_month_later': {'2022-08-11': 6.989999771118164}, '3_months_later': {'2022-10-11': 5.090000152587891}, '6_months_later': {'2023-01-11': 5.199999809265137}, '12_months_later': {'2023-07-11': 4.0}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

DRI

{'date': '2022-07-11', 'ticker': 'DRI', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.nasdaq.com/articles/darden-restaurants-named-top-dividend-stock-with-insider-buying-and-4.14-yield-dri', 'news_author': None, 'news_article': "In this series, we look through the most recent Dividend Channel ''DividendRank'' report, and then we cherry pick only those companies that have experienced insider buying within the past six months. The officers and directors of a company tend to have a unique insider's view of the business, and presumably the only reason an insider would choose to take their hard-earned cash and use it to buy stock in the open market, is that they expect to make money — maybe they find the stock very undervalued, or maybe they see exciting progress within the company, or maybe both. So when stocks turn up that see insider buying, and are also top ranked, investors are wise to take notice. One such company is Darden Restaurants, Inc. (Symbol: DRI), which saw buying by Director Timothy J. Wilmott.\nBack on June 28, Wilmott invested $1,200,000.00 into 10,000 shares of DRI, for a cost per share of $120.00. In trading on Monday, bargain hunters could buy shares of Darden Restaurants, Inc. (Symbol: DRI) and achieve a cost basis 4.1% cheaper than Wilmott, with shares changing hands as low as $115.10 per share. It should be noted that Wilmott has collected $1.21/share in dividends since the time of their purchase, so they are currently down 3.1% on their purchase from a total return basis. Darden Restaurants, Inc. shares are currently trading -1.28% on the day. The chart below shows the one year performance of DRI shares, versus its 200 day moving average:\nLooking at the chart above, DRI's low point in its 52 week range is $110.96 per share, with $164.28 as the 52 week high point — that compares with a last trade of $115.24. By comparison, below is a table showing the prices at which insider buying was recorded over the last six months:\nPURCHASED INSIDER TITLE SHARES PRICE/SHARE VALUE\n03/28/2022 Juliana L. Chugg Director 1,925 $129.01 $248,353.88\n06/28/2022 Timothy J. Wilmott Director 10,000 $120.00 $1,200,000.00\nThe DividendRank report noted that among the coverage universe, DRI shares displayed both attractive valuation metrics and strong profitability metrics. The report also cited the strong quarterly dividend history at Darden Restaurants, Inc., and favorable long-term multi-year growth rates in key fundamental data points.\nThe report stated, ''Dividend investors approaching investing from a value standpoint are generally most interested in researching the strongest most profitable companies, that also happen to be trading at an attractive valuation. That's what we aim to find using our proprietary DividendRank formula, which ranks the coverage universe based upon our various criteria for both profitability and valuation, to generate a list of the top most 'interesting' stocks, meant for investors as a source of ideas that merit further research.''\nThe annualized dividend paid by Darden Restaurants, Inc. is $4.84/share, currently paid in quarterly installments, and its most recent dividend ex-date was on 07/07/2022. Below is a long-term dividend history chart for DRI, which the report stressed as being of key importance. Indeed, studying a company's past dividend history can be of good help in judging whether the most recent dividend is likely to continue.\nThe Top DividendRank'ed Stocks With Insider Buying »\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.", 'news_publisher': None, 'news_lsa_summary': 'One such company is Darden Restaurants, Inc. (Symbol: DRI), which saw buying by Director Timothy J. Wilmott. Back on June 28, Wilmott invested $1,200,000.00 into 10,000 shares of DRI, for a cost per share of $120.00. In trading on Monday, bargain hunters could buy shares of Darden Restaurants, Inc. (Symbol: DRI) and achieve a cost basis 4.1% cheaper than Wilmott, with shares changing hands as low as $115.10 per share.', 'news_luhn_summary': 'One such company is Darden Restaurants, Inc. (Symbol: DRI), which saw buying by Director Timothy J. Wilmott. In trading on Monday, bargain hunters could buy shares of Darden Restaurants, Inc. (Symbol: DRI) and achieve a cost basis 4.1% cheaper than Wilmott, with shares changing hands as low as $115.10 per share. 03/28/2022 Juliana L. Chugg Director 1,925 $129.01 $248,353.88 06/28/2022 Timothy J. Wilmott Director 10,000 $120.00 $1,200,000.00 The DividendRank report noted that among the coverage universe, DRI shares displayed both attractive valuation metrics and strong profitability metrics.', 'news_article_title': 'Darden Restaurants Named Top Dividend Stock With Insider Buying and 4.14% Yield (DRI)', 'news_lexrank_summary': 'One such company is Darden Restaurants, Inc. (Symbol: DRI), which saw buying by Director Timothy J. Wilmott. 03/28/2022 Juliana L. Chugg Director 1,925 $129.01 $248,353.88 06/28/2022 Timothy J. Wilmott Director 10,000 $120.00 $1,200,000.00 The DividendRank report noted that among the coverage universe, DRI shares displayed both attractive valuation metrics and strong profitability metrics. Back on June 28, Wilmott invested $1,200,000.00 into 10,000 shares of DRI, for a cost per share of $120.00.', 'news_textrank_summary': "In trading on Monday, bargain hunters could buy shares of Darden Restaurants, Inc. (Symbol: DRI) and achieve a cost basis 4.1% cheaper than Wilmott, with shares changing hands as low as $115.10 per share. The chart below shows the one year performance of DRI shares, versus its 200 day moving average: Looking at the chart above, DRI's low point in its 52 week range is $110.96 per share, with $164.28 as the 52 week high point — that compares with a last trade of $115.24. One such company is Darden Restaurants, Inc. (Symbol: DRI), which saw buying by Director Timothy J. Wilmott."}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 115.0500030517578, 'high': 117.30999755859376, 'open': 116.11000061035156, 'close': 115.44000244140624, 'ema_50': 121.07320399674981, 'rsi_14': 52.284461166268464, 'target': 115.83000183105467, 'volume': 1024000.0, 'ema_200': 131.37523644844458, 'adj_close': 110.61701202392578, 'rsi_lag_1': 58.77131001238693, 'rsi_lag_2': 51.12758031131315, 'rsi_lag_3': 53.90442764782891, 'rsi_lag_4': 56.45407662591375, 'rsi_lag_5': 41.84417562606318, 'macd_lag_1': -1.5224297245804905, 'macd_lag_2': -1.6571232031869272, 'macd_lag_3': -1.855846542016394, 'macd_lag_4': -2.0244593213109425, 'macd_lag_5': -2.393496898388605, 'macd_12_26_9': -1.5064453141698095, 'macds_12_26_9': -1.900078172116365}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 115.83000183105467, '2022-07-13': 116.3000030517578, '2022-07-14': 116.16000366210938, '2022-07-15': 117.08999633789062, '2022-07-18': 116.43000030517578, '2022-07-19': 120.19000244140624, '2022-07-20': 121.88999938964844, '2022-07-21': 121.69000244140624, '2022-07-22': 121.3499984741211, '2022-07-25': 118.77999877929688}, '1_month_later': {'2022-08-11': 130.22999572753906}, '3_months_later': {'2022-10-11': 128.52999877929688}, '6_months_later': {'2023-01-11': 149.64999389648438}, '12_months_later': {'2023-07-11': 166.55999755859375}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

DRH

{'date': '2022-07-11', 'ticker': 'DRH', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 8.029999732971191, 'high': 8.3100004196167, 'open': 8.15999984741211, 'close': 8.199999809265137, 'ema_50': 9.167756449744237, 'rsi_14': 45.408160038069084, 'target': 8.34000015258789, 'volume': 976700.0, 'ema_200': 9.45377179661049, 'adj_close': 7.988846778869629, 'rsi_lag_1': 44.723621582350425, 'rsi_lag_2': 33.84032162381298, 'rsi_lag_3': 34.831453249600486, 'rsi_lag_4': 39.84672880531632, 'rsi_lag_5': 29.06975712629061, 'macd_lag_1': -0.41778009469319777, 'macd_lag_2': -0.4430339904129248, 'macd_lag_3': -0.47798666571632253, 'macd_lag_4': -0.48306457193693575, 'macd_lag_5': -0.49982853168936714, 'macd_12_26_9': -0.40121049064605785, 'macds_12_26_9': -0.4399771764415482}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 8.34000015258789, '2022-07-13': 8.399999618530273, '2022-07-14': 8.25, '2022-07-15': 8.40999984741211, '2022-07-18': 8.5, '2022-07-19': 8.890000343322754, '2022-07-20': 8.989999771118164, '2022-07-21': 8.84000015258789, '2022-07-22': 8.619999885559082, '2022-07-25': 8.800000190734863}, '1_month_later': {'2022-08-11': 9.699999809265137}, '3_months_later': {'2022-10-11': 7.849999904632568}, '6_months_later': {'2023-01-11': 8.510000228881836}, '12_months_later': {'2023-07-11': 8.34000015258789}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

DPZ

{'date': '2022-07-11', 'ticker': 'DPZ', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.nasdaq.com/articles/dominos-pizza-names-edward-jamieson-new-cfo', 'news_author': None, 'news_article': "(RTTNews) - Domino's Pizza Group Plc (DOM.L) said Monday that it has named Edward Jamieson as its new Chief Financial Officer, who is expected join the company in October 2022.\nWith this move, Edward will replace the current interim CFO, David Surdeau, who joined Domino's in November 2021.\nEdward has most recently served as Regional Finance Director, UK & Ireland at Just Eat. He had joined Just Eat as UK Finance Director in 2018. Prior to Just Eat, Edward had worked finance roles in prominent, consumer-facing, digitally led businesses, including Amazon and Diageo.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.", 'news_publisher': None, 'news_lsa_summary': "(RTTNews) - Domino's Pizza Group Plc (DOM.L) said Monday that it has named Edward Jamieson as its new Chief Financial Officer, who is expected join the company in October 2022. With this move, Edward will replace the current interim CFO, David Surdeau, who joined Domino's in November 2021. Prior to Just Eat, Edward had worked finance roles in prominent, consumer-facing, digitally led businesses, including Amazon and Diageo.", 'news_luhn_summary': "With this move, Edward will replace the current interim CFO, David Surdeau, who joined Domino's in November 2021. Edward has most recently served as Regional Finance Director, UK & Ireland at Just Eat. He had joined Just Eat as UK Finance Director in 2018.", 'news_article_title': "Domino's Pizza Names Edward Jamieson New CFO", 'news_lexrank_summary': "(RTTNews) - Domino's Pizza Group Plc (DOM.L) said Monday that it has named Edward Jamieson as its new Chief Financial Officer, who is expected join the company in October 2022. With this move, Edward will replace the current interim CFO, David Surdeau, who joined Domino's in November 2021. Edward has most recently served as Regional Finance Director, UK & Ireland at Just Eat.", 'news_textrank_summary': "(RTTNews) - Domino's Pizza Group Plc (DOM.L) said Monday that it has named Edward Jamieson as its new Chief Financial Officer, who is expected join the company in October 2022. Edward has most recently served as Regional Finance Director, UK & Ireland at Just Eat. Prior to Just Eat, Edward had worked finance roles in prominent, consumer-facing, digitally led businesses, including Amazon and Diageo."}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 396.5, 'high': 403.3200073242188, 'open': 400.9800109863281, 'close': 397.25, 'ema_50': 382.796470045788, 'rsi_14': 63.189378770453246, 'target': 391.489990234375, 'volume': 514500.0, 'ema_200': 415.84615135343086, 'adj_close': 389.276123046875, 'rsi_lag_1': 66.81583356834375, 'rsi_lag_2': 65.12782976223805, 'rsi_lag_3': 65.29483603068391, 'rsi_lag_4': 61.624730365614624, 'rsi_lag_5': 68.37920278507778, 'macd_lag_1': 8.70291610714554, 'macd_lag_2': 8.795036870061324, 'macd_lag_3': 8.358070222584388, 'macd_lag_4': 8.490260986311341, 'macd_lag_5': 8.613891753576581, 'macd_12_26_9': 8.204497175154472, 'macds_12_26_9': 8.358016236103598}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 391.489990234375, '2022-07-13': 401.3699951171875, '2022-07-14': 399.1499938964844, '2022-07-15': 406.6000061035156, '2022-07-18': 406.80999755859375, '2022-07-19': 410.239990234375, '2022-07-20': 410.8599853515625, '2022-07-21': 405.6400146484375, '2022-07-22': 399.2699890136719, '2022-07-25': 387.989990234375}, '1_month_later': {'2022-08-11': 404.1300048828125}, '3_months_later': {'2022-10-11': 303.5}, '6_months_later': {'2023-01-11': 349.8500061035156}, '12_months_later': {'2023-07-11': 349.7900085449219}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

DPST

{'date': '2022-07-11', 'ticker': 'DPST', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 244.3999938964844, 'high': 252.57000732421875, 'open': 248.3999938964844, 'close': 247.3999938964844, 'ema_50': 290.95241834668207, 'rsi_14': 56.51750559810437, 'target': 247.5, 'volume': 22420.0, 'ema_200': 389.16044061741513, 'adj_close': 242.15191650390625, 'rsi_lag_1': 64.91395343036038, 'rsi_lag_2': 52.55418168728178, 'rsi_lag_3': 51.95924755518575, 'rsi_lag_4': 56.21069317249545, 'rsi_lag_5': 46.85792408105128, 'macd_lag_1': -11.23503886552345, 'macd_lag_2': -12.269003879297145, 'macd_lag_3': -13.63426222880355, 'macd_lag_4': -14.404692995578415, 'macd_lag_5': -15.748702443047847, 'macd_12_26_9': -10.935094323501033, 'macds_12_26_9': -13.832803368905745}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 247.5, '2022-07-13': 234.6999969482422, '2022-07-14': 224.3000030517578, '2022-07-15': 246.8000030517578, '2022-07-18': 250.8999938964844, '2022-07-19': 274.79998779296875, '2022-07-20': 286.5, '2022-07-21': 287.5, '2022-07-22': 278.3999938964844, '2022-07-25': 292.29998779296875}, '1_month_later': {'2022-08-11': 354.79998779296875}, '3_months_later': {'2022-10-11': 252.1999969482422}, '6_months_later': {'2023-01-11': 237.5}, '12_months_later': {'2023-07-11': 59.970001220703125}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

DMAY

{'date': '2022-07-11', 'ticker': 'DMAY', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 31.09000015258789, 'high': 31.25, 'open': 31.25, 'close': 31.1200008392334, 'ema_50': 31.749261531051395, 'rsi_14': 70.2342950986835, 'target': 31.040000915527344, 'volume': 88100.0, 'ema_200': 33.10385633214678, 'adj_close': 31.1200008392334, 'rsi_lag_1': 79.43299105699245, 'rsi_lag_2': 60.44442033181057, 'rsi_lag_3': 60.98200354209637, 'rsi_lag_4': 58.44154021200454, 'rsi_lag_5': 44.982718373170954, 'macd_lag_1': -0.17114729396320882, 'macd_lag_2': -0.20755951035855702, 'macd_lag_3': -0.2439902124581721, 'macd_lag_4': -0.27380557138475226, 'macd_lag_5': -0.30370360208942415, 'macd_12_26_9': -0.15574566502913, 'macds_12_26_9': -0.25741677930526796}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 31.040000915527344, '2022-07-13': 30.950000762939453, '2022-07-14': 30.875, '2022-07-15': 31.145999908447266, '2022-07-18': 31.0310001373291, '2022-07-19': 31.424999237060547, '2022-07-20': 31.40999984741211, '2022-07-21': 31.6299991607666, '2022-07-22': 31.50300025939941, '2022-07-25': 31.5}, '1_month_later': {'2022-08-11': 32.279998779296875}, '3_months_later': {'2022-10-11': 30.0629997253418}, '6_months_later': {'2023-01-11': 31.79800033569336}, '12_months_later': {'2023-07-11': 34.275001525878906}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

DPG

{'date': '2022-07-11', 'ticker': 'DPG', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 13.4399995803833, 'high': 13.640000343322754, 'open': 13.4399995803833, 'close': 13.479999542236328, 'ema_50': 14.164914543618918, 'rsi_14': 63.05083989617559, 'target': 13.210000038146973, 'volume': 48100.0, 'ema_200': 14.299903316984539, 'adj_close': 11.62304973602295, 'rsi_lag_1': 57.407417763956666, 'rsi_lag_2': 48.31168657451775, 'rsi_lag_3': 51.34473934257087, 'rsi_lag_4': 39.47368279529897, 'rsi_lag_5': 40.076334002300854, 'macd_lag_1': -0.24751364398554365, 'macd_lag_2': -0.25685102901360146, 'macd_lag_3': -0.27826928804319984, 'macd_lag_4': -0.2913773647197946, 'macd_lag_5': -0.30896074942954854, 'macd_12_26_9': -0.2429614579436663, 'macds_12_26_9': -0.3002272175739121}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 13.210000038146973, '2022-07-13': 13.40999984741211, '2022-07-14': 13.25, '2022-07-15': 13.359999656677246, '2022-07-18': 13.399999618530272, '2022-07-19': 13.65999984741211, '2022-07-20': 13.720000267028809, '2022-07-21': 13.59000015258789, '2022-07-22': 13.949999809265137, '2022-07-25': 14.119999885559082}, '1_month_later': {'2022-08-11': 14.93000030517578}, '3_months_later': {'2022-10-11': 12.600000381469728}, '6_months_later': {'2023-01-11': 14.15999984741211}, '12_months_later': {'2023-07-11': 9.989999771118164}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

DOX

{'date': '2022-07-11', 'ticker': 'DOX', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.nasdaq.com/articles/dox-vs.-epam%3A-which-stock-should-value-investors-buy-now-0', 'news_author': None, 'news_article': 'Investors with an interest in Computers - IT Services stocks have likely encountered both Amdocs (DOX) and Epam (EPAM). But which of these two stocks presents investors with the better value opportunity right now? Let\'s take a closer look.\nThere are plenty of strategies for discovering value stocks, but we have found that pairing a strong Zacks Rank with an impressive grade in the Value category of our Style Scores system produces the best returns. The proven Zacks Rank emphasizes companies with positive estimate revision trends, and our Style Scores highlight stocks with specific traits.\nRight now, Amdocs is sporting a Zacks Rank of #2 (Buy), while Epam has a Zacks Rank of #3 (Hold). Investors should feel comfortable knowing that DOX likely has seen a stronger improvement to its earnings outlook than EPAM has recently. However, value investors will care about much more than just this.\nValue investors analyze a variety of traditional, tried-and-true metrics to help find companies that they believe are undervalued at their current share price levels.\nOur Value category highlights undervalued companies by looking at a variety of key metrics, including the popular P/E ratio, as well as the P/S ratio, earnings yield, cash flow per share, and a variety of other fundamentals that have been used by value investors for years.\nDOX currently has a forward P/E ratio of 15.91, while EPAM has a forward P/E of 37.10. We also note that DOX has a PEG ratio of 1.59. This popular metric is similar to the widely-known P/E ratio, with the difference being that the PEG ratio also takes into account the company\'s expected earnings growth rate. EPAM currently has a PEG ratio of 2.16.\nAnother notable valuation metric for DOX is its P/B ratio of 3.04. The P/B ratio is used to compare a stock\'s market value with its book value, which is defined as total assets minus total liabilities. For comparison, EPAM has a P/B of 7.18.\nBased on these metrics and many more, DOX holds a Value grade of B, while EPAM has a Value grade of D.\nDOX has seen stronger estimate revision activity and sports more attractive valuation metrics than EPAM, so it seems like value investors will conclude that DOX is the superior option right now.\n\nZacks Names "Single Best Pick to Double"\nFrom thousands of stocks, 5 Zacks experts each have chosen their favorite to skyrocket +100% or more in months to come. From those 5, Director of Research Sheraz Mian hand-picks one to have the most explosive upside of all.\nIt’s a little-known chemical company that’s up 65% over last year, yet still dirt cheap. With unrelenting demand, soaring 2022 earnings estimates, and $1.5 billion for repurchasing shares, retail investors could jump in at any time.\nThis company could rival or surpass other recent Zacks’ Stocks Set to Double like Boston Beer Company which shot up +143.0% in little more than 9 months and NVIDIA which boomed +175.9% in one year.\nFree: See Our Top Stock and 4 Runners Up >>\n\nWant the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report\n \nAmdocs Limited (DOX): Free Stock Analysis Report\n \nEPAM Systems, Inc. (EPAM): Free Stock Analysis Report\n \nTo read this article on Zacks.com click here.\n \nZacks Investment Research\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_publisher': None, 'news_lsa_summary': 'Investors with an interest in Computers - IT Services stocks have likely encountered both Amdocs (DOX) and Epam (EPAM). Investors should feel comfortable knowing that DOX likely has seen a stronger improvement to its earnings outlook than EPAM has recently. DOX currently has a forward P/E ratio of 15.91, while EPAM has a forward P/E of 37.10.', 'news_luhn_summary': 'Based on these metrics and many more, DOX holds a Value grade of B, while EPAM has a Value grade of D. DOX has seen stronger estimate revision activity and sports more attractive valuation metrics than EPAM, so it seems like value investors will conclude that DOX is the superior option right now. Investors with an interest in Computers - IT Services stocks have likely encountered both Amdocs (DOX) and Epam (EPAM). Investors should feel comfortable knowing that DOX likely has seen a stronger improvement to its earnings outlook than EPAM has recently.', 'news_article_title': 'DOX vs. EPAM: Which Stock Should Value Investors Buy Now?', 'news_lexrank_summary': 'Investors with an interest in Computers - IT Services stocks have likely encountered both Amdocs (DOX) and Epam (EPAM). Investors should feel comfortable knowing that DOX likely has seen a stronger improvement to its earnings outlook than EPAM has recently. DOX currently has a forward P/E ratio of 15.91, while EPAM has a forward P/E of 37.10.', 'news_textrank_summary': 'Investors with an interest in Computers - IT Services stocks have likely encountered both Amdocs (DOX) and Epam (EPAM). Based on these metrics and many more, DOX holds a Value grade of B, while EPAM has a Value grade of D. DOX has seen stronger estimate revision activity and sports more attractive valuation metrics than EPAM, so it seems like value investors will conclude that DOX is the superior option right now. Investors should feel comfortable knowing that DOX likely has seen a stronger improvement to its earnings outlook than EPAM has recently.'}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 82.25, 'high': 83.4000015258789, 'open': 83.11000061035156, 'close': 82.63999938964844, 'ema_50': 82.53390929890216, 'rsi_14': 67.196220565582, 'target': 82.22000122070312, 'volume': 584000.0, 'ema_200': 79.57961237308447, 'adj_close': 80.31403350830078, 'rsi_lag_1': 74.31911235239915, 'rsi_lag_2': 64.47370576173324, 'rsi_lag_3': 66.14229727543614, 'rsi_lag_4': 65.62502317961847, 'rsi_lag_5': 58.11808966473789, 'macd_lag_1': 0.21464565720089013, 'macd_lag_2': 0.19087830594629906, 'macd_lag_3': 0.18220225747866436, 'macd_lag_4': 0.15015094625330505, 'macd_lag_5': 0.14473081126847376, 'macd_12_26_9': 0.16460972471278978, 'macds_12_26_9': 0.051935256397981765}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 82.22000122070312, '2022-07-13': 82.20999908447266, '2022-07-14': 81.93000030517578, '2022-07-15': 83.23999786376953, '2022-07-18': 83.19000244140625, '2022-07-19': 85.43000030517578, '2022-07-20': 85.44999694824219, '2022-07-21': 86.62000274658203, '2022-07-22': 86.77999877929688, '2022-07-25': 86.19999694824219}, '1_month_later': {'2022-08-11': 87.58999633789062}, '3_months_later': {'2022-10-11': 80.3499984741211}, '6_months_later': {'2023-01-11': 88.98999786376953}, '12_months_later': {'2023-07-11': 97.16999816894533}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

DOW

{'date': '2022-07-11', 'ticker': 'DOW', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.nasdaq.com/articles/what-lies-ahead-for-dow-etf-in-q2-earnings', 'news_author': None, 'news_article': 'After suffering its biggest first-half percentage plunge since 1962, the Dow Jones Industrial Average kicked off the second half with stability. A strong jobs report and a drop in commodity prices brought back the lure for riskier assets.\n\nThe blue-chip index gained 0.8% last week and SPDR Dow Jones Industrial Average ETF Trust DIA, which tracks the Dow Jones Industrial Average Index, is also up 8.5%. The trend is likely to continue heading into the earnings season.\n\nTotal S&P 500 earnings are expected to be up 1.8% from the same-period last year, while the revenues are estimated to rise 9.7%. In addition to inflation, logistical challenges and macroeconomic uncertainty, which were the recurring themes in the last couple of quarterly reporting cycles, the companies are expected to cite the strong U.S. dollar as another headwind this earnings season (read: Tap Dollar Strength With These ETFs).\n\nOf the 16 Zacks sectors, 10 are expected to record earnings growth in the second quarter, with the strongest gains in energy (up 191.3%). This will be followed by transportation (132.5%), autos (22.1%), construction (20.7%), basic materials (18.4%) and business services (8.2%) sectors.\nDIA in Focus\nSPDR Dow Jones Industrial Average ETF Trust is one of the largest and most popular ETFs in the large-cap space with an AUM of $26.7 billion and an average daily volume of 4.7 million shares. Holding 30 blue-chip stocks, the fund is widely spread across components with each holding less than 11% share. Healthcare (21.7%), information technology (21.3%), financials (15.2%), consumer discretionary (13.6%) and industrials (13.1%) are the top five sectors.\n\nSPDR Dow Jones Industrial Average ETF charges 16 bps as annual fees and has a Zacks ETF Rank #1 (Strong Buy) with a Medium risk. \n\nNearly one-fourth of the blue-chip firms are expected to announce results this week and in the next. JPMorgan Chase JPM is expected to report on Jul 14 while UnitedHealth UNH will announce earnings on Jul 15. Both Goldman GS and International Business Machines IBM are scheduled to report on Jul 18 each while Johnson & Johnson JNJ will report on Jul 19. Dow Inc. DOW and Intel INTC will release earnings on Jul 21 and Jul 28, respectively (read: Tap Q2 Earnings Growth With Sector ETFs).\n\nLet’s delve deeper into the second-quarter earnings picture that will likely aid the fund in the coming days.\nEarnings Whispers\nAccording to our methodology, the combination of a positive Earnings ESP and a Zacks Rank #1, 2 (Buy) or 3 (Hold) increases the chances of an earnings beat. You can uncover the best stocks to buy or sell before they’re reported with our Earnings ESP Filter.\n\nJPMorgan has a Zacks Rank #2 and an Earnings ESP of +1.32%. The stock has seen a positive earnings estimate revision of 3 cents over the past 30 days for the to-be-reported quarter. Analysts raising estimates right before earnings — with the most up-to-date information — is a good indicator for the stock. JPM delivered an earnings surprise of 13.67%, on average, in the last four quarters.\n\nUnitedHealth has a Zacks Rank #3 and an Earnings ESP of 0.00%. The stock has witnessed no earnings estimate revision over the past 30 days for the to-be-reported quarter and delivered an earnings surprise of 3.73%, on average, over the last four quarters (read: 5 ETFs Riding High on the Biotech Comeback).\n\nGoldman has a Zacks Rank of 3 and an Earnings ESP of -9.56%. The stock has witnessed a negative earnings estimate revision of 5 cents over the past seven days for the yet-to-be-reported quarter. GS’s earnings surprise track over the preceding four quarters was robust, the average being 29.67%.\n\nInternational Business Machines has a Zacks Rank #3 and an Earnings ESP of 0.00%. The stock has seen zero earnings estimate revision in the past 30 days for the to-be-reported quarter. IBM delivered an earnings surprise of 2.02%, on average, in the last four quarters.\n\nJohnson & Johnson has a Zacks Rank #3 and an Earnings ESP of 0.00%. The stock has witnessed no earnings estimate revision over the past 30 days for the yet-to-be-reported quarter. JNJ’s earnings surprise track over the preceding four quarters was also robust, the average being 5.41%.\n\nDow has a Zacks Rank #3 and an Earnings ESP of -0.12%. The stock has seen a negative earnings estimate revision of a couple of cents over the past seven days for the to-be-reported quarter. DOW came up with a beat in each of the last four quarters, the average being 9.17%.\n\nIntel has a Zacks Rank #4 and an Earnings ESP of +12.25%. The stock has witnessed a positive earnings estimate revision of 4 cents over the past 30 days for the soon-to-be-reported quarter and delivered an earnings surprise of 26.17%, on average, over the last four quarters.\nBottom Line\nWith some of the blue-chip companies expected to report an earnings surprise, investors should closely monitor the movement of the Dow ETF and grab an opportunity that arises from a surge in any of the 30 stocks.\n \nWant key ETF info delivered straight to your inbox?\nZacks’ free Fund Newsletter will brief you on top news and analysis, as well as top-performing ETFs, each week.\nGet it free >>\n\nWant the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report\n \nThe Goldman Sachs Group, Inc. (GS): Free Stock Analysis Report\n \nJPMorgan Chase & Co. (JPM): Free Stock Analysis Report\n \nIntel Corporation (INTC): Free Stock Analysis Report\n \nUnitedHealth Group Incorporated (UNH): Free Stock Analysis Report\n \nInternational Business Machines Corporation (IBM): Free Stock Analysis Report\n \nJohnson & Johnson (JNJ): Free Stock Analysis Report\n \nDow Inc. (DOW): Free Stock Analysis Report\n \nSPDR Dow Jones Industrial Average ETF (DIA): ETF Research Reports\n \nTo read this article on Zacks.com click here.\n \nZacks Investment Research\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_publisher': None, 'news_lsa_summary': 'After suffering its biggest first-half percentage plunge since 1962, the Dow Jones Industrial Average kicked off the second half with stability. Bottom Line With some of the blue-chip companies expected to report an earnings surprise, investors should closely monitor the movement of the Dow ETF and grab an opportunity that arises from a surge in any of the 30 stocks. The blue-chip index gained 0.8% last week and SPDR Dow Jones Industrial Average ETF Trust DIA, which tracks the Dow Jones Industrial Average Index, is also up 8.5%.', 'news_luhn_summary': 'The blue-chip index gained 0.8% last week and SPDR Dow Jones Industrial Average ETF Trust DIA, which tracks the Dow Jones Industrial Average Index, is also up 8.5%. SPDR Dow Jones Industrial Average ETF (DIA): ETF Research Reports After suffering its biggest first-half percentage plunge since 1962, the Dow Jones Industrial Average kicked off the second half with stability.', 'news_article_title': 'What Lies Ahead for Dow ETF in Q2 Earnings?', 'news_lexrank_summary': 'Dow Inc. DOW and Intel INTC will release earnings on Jul 21 and Jul 28, respectively (read: Tap Q2 Earnings Growth With Sector ETFs). Dow Inc. (DOW): Free Stock Analysis Report After suffering its biggest first-half percentage plunge since 1962, the Dow Jones Industrial Average kicked off the second half with stability.', 'news_textrank_summary': 'After suffering its biggest first-half percentage plunge since 1962, the Dow Jones Industrial Average kicked off the second half with stability. The blue-chip index gained 0.8% last week and SPDR Dow Jones Industrial Average ETF Trust DIA, which tracks the Dow Jones Industrial Average Index, is also up 8.5%. DIA in Focus SPDR Dow Jones Industrial Average ETF Trust is one of the largest and most popular ETFs in the large-cap space with an AUM of $26.7 billion and an average daily volume of 4.7 million shares.'}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 50.5099983215332, 'high': 51.34999847412109, 'open': 50.7400016784668, 'close': 51.0099983215332, 'ema_50': 59.088622284950645, 'rsi_14': 34.53945015603884, 'target': 50.41999816894531, 'volume': 3919100.0, 'ema_200': 60.730284973276525, 'adj_close': 47.098854064941406, 'rsi_lag_1': 33.76204782054464, 'rsi_lag_2': 31.042106910303815, 'rsi_lag_3': 22.82766460865757, 'rsi_lag_4': 19.9999712098071, 'rsi_lag_5': 17.118836782581297, 'macd_lag_1': -3.434666113131769, 'macd_lag_2': -3.5638224048942746, 'macd_lag_3': -3.768471512902096, 'macd_lag_4': -3.862864216842979, 'macd_lag_5': -3.8813382563105208, 'macd_12_26_9': -3.323849680701798, 'macds_12_26_9': -3.5292374173057257}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 50.41999816894531, '2022-07-13': 49.66999816894531, '2022-07-14': 48.900001525878906, '2022-07-15': 49.54999923706055, '2022-07-18': 50.470001220703125, '2022-07-19': 52.45000076293945, '2022-07-20': 52.54999923706055, '2022-07-21': 51.400001525878906, '2022-07-22': 50.84999847412109, '2022-07-25': 51.58000183105469}, '1_month_later': {'2022-08-11': 55.2599983215332}, '3_months_later': {'2022-10-11': 43.95000076293945}, '6_months_later': {'2023-01-11': 57.58000183105469}, '12_months_later': {'2023-07-11': 53.41999816894531}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

DOOR

{'date': '2022-07-11', 'ticker': 'DOOR', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 79.95999908447266, 'high': 81.44000244140625, 'open': 79.95999908447266, 'close': 80.41000366210938, 'ema_50': 82.56759887498436, 'rsi_14': 76.38557528220745, 'target': 82.91000366210938, 'volume': 109600.0, 'ema_200': 94.01736861746424, 'adj_close': 80.41000366210938, 'rsi_lag_1': 70.8380324492602, 'rsi_lag_2': 48.13971823936388, 'rsi_lag_3': 45.42750866106894, 'rsi_lag_4': 46.534652314720525, 'rsi_lag_5': 36.26536649395549, 'macd_lag_1': -1.3810060790523693, 'macd_lag_2': -1.6332307613227215, 'macd_lag_3': -1.9385323318197578, 'macd_lag_4': -2.253175050190464, 'macd_lag_5': -2.7360359855672414, 'macd_12_26_9': -1.1788242299629133, 'macds_12_26_9': -1.9238936071779642}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 82.91000366210938, '2022-07-13': 82.80999755859375, '2022-07-14': 81.66000366210938, '2022-07-15': 80.7699966430664, '2022-07-18': 82.47000122070312, '2022-07-19': 85.18000030517578, '2022-07-20': 85.37000274658203, '2022-07-21': 87.19999694824219, '2022-07-22': 87.63999938964844, '2022-07-25': 87.45999908447266}, '1_month_later': {'2022-08-11': 91.79000091552734}, '3_months_later': {'2022-10-11': 73.13999938964844}, '6_months_later': {'2023-01-11': 89.02999877929688}, '12_months_later': {'2023-07-11': 98.9499969482422}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

DOOO

{'date': '2022-07-11', 'ticker': 'DOOO', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 64.23999786376953, 'high': 65.80000305175781, 'open': 65.79000091552734, 'close': 64.62000274658203, 'ema_50': 69.02343678915092, 'rsi_14': 56.121920427342516, 'target': 64.87999725341797, 'volume': 55400.0, 'ema_200': 75.77778167357098, 'adj_close': 64.06034088134766, 'rsi_lag_1': 62.69429266664325, 'rsi_lag_2': 55.20247816569126, 'rsi_lag_3': 48.497352301778925, 'rsi_lag_4': 51.79358083825431, 'rsi_lag_5': 44.41453497521088, 'macd_lag_1': -1.808131988339781, 'macd_lag_2': -2.1790691476841033, 'macd_lag_3': -2.608606613349103, 'macd_lag_4': -2.6902544054154873, 'macd_lag_5': -2.9019537470209116, 'macd_12_26_9': -1.6460796137192801, 'macds_12_26_9': -2.3933361841430547}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 64.87999725341797, '2022-07-13': 65.83000183105469, '2022-07-14': 64.16000366210938, '2022-07-15': 65.37999725341797, '2022-07-18': 67.18000030517578, '2022-07-19': 69.58999633789062, '2022-07-20': 70.2300033569336, '2022-07-21': 71.18000030517578, '2022-07-22': 70.7300033569336, '2022-07-25': 71.98999786376953}, '1_month_later': {'2022-08-11': 78.12999725341797}, '3_months_later': {'2022-10-11': 61.02000045776367}, '6_months_later': {'2023-01-11': 79.16999816894531}, '12_months_later': {'2023-07-11': 82.9800033569336}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

DOYU

{'date': '2022-07-11', 'ticker': 'DOYU', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 1.2200000286102295, 'high': 1.2699999809265137, 'open': 1.2599999904632568, 'close': 1.2400000095367432, 'ema_50': 1.3923812567472664, 'rsi_14': 51.92307515962583, 'target': 1.2300000190734863, 'volume': 816500.0, 'ema_200': 2.696569879724546, 'adj_close': 1.2400000095367432, 'rsi_lag_1': 63.26530215046203, 'rsi_lag_2': 55.35714779885393, 'rsi_lag_3': 52.8301861329449, 'rsi_lag_4': 60.34482723183924, 'rsi_lag_5': 50.0, 'macd_lag_1': -0.020548367535123457, 'macd_lag_2': -0.027016128634056447, 'macd_lag_3': -0.03589657482322228, 'macd_lag_4': -0.039581843348479806, 'macd_lag_5': -0.0457462118754397, 'macd_12_26_9': -0.020830904168887665, 'macds_12_26_9': -0.038061425771745185}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 1.2300000190734863, '2022-07-13': 1.2100000381469729, '2022-07-14': 1.1299999952316284, '2022-07-15': 1.159999966621399, '2022-07-18': 1.2300000190734863, '2022-07-19': 1.2699999809265137, '2022-07-20': 1.25, '2022-07-21': 1.2899999618530271, '2022-07-22': 1.2300000190734863, '2022-07-25': 1.190000057220459}, '1_month_later': {'2022-08-11': 1.190000057220459}, '3_months_later': {'2022-10-11': 0.9539999961853028}, '6_months_later': {'2023-01-11': 1.7100000381469729}, '12_months_later': {'2023-07-11': 1.059999942779541}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

EIGR

{'date': '2022-07-11', 'ticker': 'EIGR', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 8.170000076293945, 'high': 8.760000228881836, 'open': 8.529999732971191, 'close': 8.609999656677246, 'ema_50': 6.589403689723548, 'rsi_14': 87.21804906643274, 'target': 8.5, 'volume': 325500.0, 'ema_200': 6.655535642046807, 'adj_close': 8.609999656677246, 'rsi_lag_1': 88.43537812164843, 'rsi_lag_2': 83.29114229666516, 'rsi_lag_3': 79.11392787083145, 'rsi_lag_4': 71.69230534480168, 'rsi_lag_5': 61.24260655546674, 'macd_lag_1': 0.3267270795078083, 'macd_lag_2': 0.17517371729709108, 'macd_lag_3': 0.041297591412773116, 'macd_lag_4': -0.011050439186559124, 'macd_lag_5': -0.060395729540700493, 'macd_12_26_9': 0.44174208318278296, 'macds_12_26_9': 0.10742371204127706}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 8.5, '2022-07-13': 8.680000305175781, '2022-07-14': 8.489999771118164, '2022-07-15': 8.369999885559082, '2022-07-18': 8.130000114440918, '2022-07-19': 8.489999771118164, '2022-07-20': 8.6899995803833, '2022-07-21': 8.680000305175781, '2022-07-22': 8.4399995803833, '2022-07-25': 8.489999771118164}, '1_month_later': {'2022-08-11': 8.930000305175781}, '3_months_later': {'2022-10-11': 5.829999923706055}, '6_months_later': {'2023-01-11': 1.3200000524520874}, '12_months_later': {'2023-07-11': 0.7900000214576721}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

DMAC

{'date': '2022-07-11', 'ticker': 'DMAC', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 1.270400047302246, 'high': 1.3899999856948853, 'open': 1.3799999952316284, 'close': 1.2999999523162842, 'ema_50': 2.179094814984537, 'rsi_14': 26.775948381717313, 'target': 1.2799999713897705, 'volume': 214400.0, 'ema_200': 3.0941655796932555, 'adj_close': 1.2999999523162842, 'rsi_lag_1': 30.270270688242988, 'rsi_lag_2': 24.999996829539967, 'rsi_lag_3': 39.495796719880765, 'rsi_lag_4': 38.367342529868495, 'rsi_lag_5': 37.00786743776617, 'macd_lag_1': -0.19288650413190012, 'macd_lag_2': -0.15549991693183562, 'macd_lag_3': -0.0963555798061968, 'macd_lag_4': -0.09684618010673107, 'macd_lag_5': -0.09606369277967897, 'macd_12_26_9': -0.2239684627250802, 'macds_12_26_9': -0.13875359927786954}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 1.2799999713897705, '2022-07-13': 1.340000033378601, '2022-07-14': 1.2699999809265137, '2022-07-15': 1.2799999713897705, '2022-07-18': 1.2899999618530271, '2022-07-19': 1.2899999618530271, '2022-07-20': 1.2949999570846558, '2022-07-21': 1.3700000047683716, '2022-07-22': 1.5299999713897705, '2022-07-25': 1.6299999952316284}, '1_month_later': {'2022-08-11': 1.899999976158142}, '3_months_later': {'2022-10-11': 1.4199999570846558}, '6_months_later': {'2023-01-11': 1.5800000429153442}, '12_months_later': {'2023-07-11': 3.539999961853028}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

DHS

{'date': '2022-07-11', 'ticker': 'DHS', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 81.75, 'high': 82.37000274658203, 'open': 81.87000274658203, 'close': 82.08999633789062, 'ema_50': 85.06775091480712, 'rsi_14': 60.2350542950314, 'target': 81.72000122070312, 'volume': 98500.0, 'ema_200': 83.87731539463408, 'adj_close': 76.91606903076172, 'rsi_lag_1': 56.31867421688599, 'rsi_lag_2': 48.57819533919499, 'rsi_lag_3': 45.06222553146226, 'rsi_lag_4': 43.96761178622592, 'rsi_lag_5': 38.320389729541134, 'macd_lag_1': -1.2407196327517909, 'macd_lag_2': -1.2960933747138768, 'macd_lag_3': -1.3652270425695434, 'macd_lag_4': -1.360299679178155, 'macd_lag_5': -1.3576429181856184, 'macd_12_26_9': -1.1991511729319768, 'macds_12_26_9': -1.3211385889854033}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 81.72000122070312, '2022-07-13': 81.1500015258789, '2022-07-14': 80.3499984741211, '2022-07-15': 81.58000183105469, '2022-07-18': 81.13999938964844, '2022-07-19': 82.62999725341797, '2022-07-20': 82.19000244140625, '2022-07-21': 82.0999984741211, '2022-07-22': 81.95999908447266, '2022-07-25': 82.69999694824219}, '1_month_later': {'2022-08-11': 85.69000244140625}, '3_months_later': {'2022-10-11': 77.9000015258789}, '6_months_later': {'2023-01-11': 88.19000244140625}, '12_months_later': {'2023-07-11': 80.41000366210938}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

DHT

{'date': '2022-07-11', 'ticker': 'DHT', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 5.920000076293945, 'high': 6.110000133514404, 'open': 6.099999904632568, 'close': 6.019999980926514, 'ema_50': 5.9012947668709765, 'rsi_14': 63.90041190011036, 'target': 6.090000152587891, 'volume': 1204200.0, 'ema_200': 5.801932694754238, 'adj_close': 5.312564849853516, 'rsi_lag_1': 57.894735898620866, 'rsi_lag_2': 54.924236198323015, 'rsi_lag_3': 51.626014053897315, 'rsi_lag_4': 59.99999152289856, 'rsi_lag_5': 56.72267964731698, 'macd_lag_1': 0.061011476173089996, 'macd_lag_2': 0.05696893411925963, 'macd_lag_3': 0.060144193301403526, 'macd_lag_4': 0.09081306117656496, 'macd_lag_5': 0.09910950280416664, 'macd_12_26_9': 0.05630392314645327, 'macds_12_26_9': 0.06244782858317603}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 6.090000152587891, '2022-07-13': 6.300000190734863, '2022-07-14': 6.21999979019165, '2022-07-15': 6.400000095367432, '2022-07-18': 6.619999885559082, '2022-07-19': 6.849999904632568, '2022-07-20': 6.820000171661377, '2022-07-21': 6.869999885559082, '2022-07-22': 6.599999904632568, '2022-07-25': 6.800000190734863}, '1_month_later': {'2022-08-11': 7.739999771118164}, '3_months_later': {'2022-10-11': 7.380000114440918}, '6_months_later': {'2023-01-11': 8.5600004196167}, '12_months_later': {'2023-07-11': 8.880000114440918}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

DIAL

{'date': '2022-07-11', 'ticker': 'DIAL', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 17.739999771118164, 'high': 17.81999969482422, 'open': 17.790000915527344, 'close': 17.764999389648438, 'ema_50': 18.098609468417973, 'rsi_14': 57.10082440215432, 'target': 17.84000015258789, 'volume': 118900.0, 'ema_200': 19.48786932729502, 'adj_close': 16.920331954956055, 'rsi_lag_1': 57.72200558949263, 'rsi_lag_2': 56.628760512094324, 'rsi_lag_3': 65.38169320087135, 'rsi_lag_4': 65.03758050660903, 'rsi_lag_5': 48.32398484351224, 'macd_lag_1': -0.10810556531726334, 'macd_lag_2': -0.11575020204532649, 'macd_lag_3': -0.13196934585310416, 'macd_lag_4': -0.14179138390655766, 'macd_lag_5': -0.160207184055146, 'macd_12_26_9': -0.0980921946932547, 'macds_12_26_9': -0.13786807603493137}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 17.84000015258789, '2022-07-13': 17.809999465942383, '2022-07-14': 17.729999542236328, '2022-07-15': 17.84000015258789, '2022-07-18': 17.81999969482422, '2022-07-19': 17.920000076293945, '2022-07-20': 17.979999542236328, '2022-07-21': 18.1200008392334, '2022-07-22': 18.25, '2022-07-25': 18.2450008392334}, '1_month_later': {'2022-08-11': 18.5}, '3_months_later': {'2022-10-11': 16.600000381469727}, '6_months_later': {'2023-01-11': 17.850000381469727}, '12_months_later': {'2023-07-11': 17.420000076293945}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

DIN

{'date': '2022-07-11', 'ticker': 'DIN', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 66.27999877929688, 'high': 67.9000015258789, 'open': 67.1500015258789, 'close': 66.55999755859375, 'ema_50': 69.70394745805068, 'rsi_14': 48.68603081797752, 'target': 65.91000366210938, 'volume': 163600.0, 'ema_200': 74.15290998044001, 'adj_close': 63.26362609863281, 'rsi_lag_1': 57.19777186371763, 'rsi_lag_2': 49.2098482896379, 'rsi_lag_3': 49.43286185345525, 'rsi_lag_4': 51.564885551755424, 'rsi_lag_5': 42.39563648286695, 'macd_lag_1': -0.9142029543927208, 'macd_lag_2': -1.0110319459554233, 'macd_lag_3': -1.21562437000658, 'macd_lag_4': -1.3134768602502476, 'macd_lag_5': -1.6371579495036173, 'macd_12_26_9': -0.9164685743144361, 'macds_12_26_9': -1.2266279992499933}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 65.91000366210938, '2022-07-13': 66.06999969482422, '2022-07-14': 65.58000183105469, '2022-07-15': 67.77999877929688, '2022-07-18': 67.0199966430664, '2022-07-19': 69.5, '2022-07-20': 69.55000305175781, '2022-07-21': 67.98999786376953, '2022-07-22': 67.54000091552734, '2022-07-25': 66.29000091552734}, '1_month_later': {'2022-08-11': 72.6500015258789}, '3_months_later': {'2022-10-11': 65.22000122070312}, '6_months_later': {'2023-01-11': 72.37000274658203}, '12_months_later': {'2023-07-11': 58.79999923706055}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

DIOD

{'date': '2022-07-11', 'ticker': 'DIOD', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 63.41999816894531, 'high': 65.38999938964844, 'open': 64.12000274658203, 'close': 64.23999786376953, 'ema_50': 70.41581777931432, 'rsi_14': 47.41951316880032, 'target': 63.650001525878906, 'volume': 163500.0, 'ema_200': 80.97927744019114, 'adj_close': 64.23999786376953, 'rsi_lag_1': 51.073870886908644, 'rsi_lag_2': 35.61946921326549, 'rsi_lag_3': 31.432592606707786, 'rsi_lag_4': 37.01607102412021, 'rsi_lag_5': 30.337477867109314, 'macd_lag_1': -2.636290594750335, 'macd_lag_2': -2.9177491316506234, 'macd_lag_3': -3.0614615991527927, 'macd_lag_4': -2.9590512456704516, 'macd_lag_5': -2.792424890761694, 'macd_12_26_9': -2.461515290326531, 'macds_12_26_9': -2.628884609639184}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 63.650001525878906, '2022-07-13': 64.55000305175781, '2022-07-14': 67.31999969482422, '2022-07-15': 69.37999725341797, '2022-07-18': 68.4800033569336, '2022-07-19': 71.66999816894531, '2022-07-20': 74.62999725341797, '2022-07-21': 77.06999969482422, '2022-07-22': 75.43000030517578, '2022-07-25': 74.83999633789062}, '1_month_later': {'2022-08-11': 80.2699966430664}, '3_months_later': {'2022-10-11': 67.5199966430664}, '6_months_later': {'2023-01-11': 84.12999725341797}, '12_months_later': {'2023-07-11': 90.37999725341795}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

DIS

{'date': '2022-07-11', 'ticker': 'DIS', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.nasdaq.com/articles/top-research-reports-for-berkshire-hathaway-walt-disney-cvs', 'news_author': None, 'news_article': 'Monday, July 11, 2022\n The Zacks Research Daily presents the best research output of our analyst team. Today\'s Research Daily features new research reports on 16 major stocks, including Berkshire Hathaway Inc. (BRK.B), The Walt Disney Co. (DIS) and CVS Health Corp. (CVS). These research reports have been hand-picked from the roughly 70 reports published by our analyst team today.\n You can see all of today’s research reports here >>>\n Berkshire Hathaway shares have outperformed the Zacks Insurance - Property and Casualty industry over the past year (+0.3% vs. -5.0%). The Zacks analyst believes that Berkshire\'s inorganic growth story remains impressive with strategic acquisitions.\nA strong cash position supports earnings-accretive bolt-on buyouts and indicates the company\'s financial flexibility. Continued insurance business growth fuels increase in float, drive earnings and generates maximum return on equity. The non-insurance businesses are delivering improved results with increased revenues over the past few years. A sturdy capital level provides further impetus.\nHowever, exposure to catastrophe loss induces earnings volatility and also affects the property and casualty underwriting results of Berkshire. Huge capital expenditures remain a headwind for the company.\n(You can read the full research report on Berkshire Hathaway here >>>)\nWalt Disney shares have declined -38.1% over the year to date period against the Zacks Media Conglomerates industry’s decline of -32.0%. The Zacks analyst believes that Disney+’s profitability is expected to be negatively impacted by higher investments in content, which will drive up programming and production costs at Media and Entertainment Distribution. Closure of its Asian theme park due to COVID-19 doesn’t bode well for the Parks, Experiences and Products top-line growth.\nNevertheless, the company benefits from the growing popularity of Disney+, owing to a strong content portfolio and a cheaper bundle offering. Availability in the Nordics, Latin America and other Asian territories is helping it in expanding user base. Revival in Parks business also hold promise in the long haul.\n(You can read the full research report on Walt Disney here >>>)\nCVS Health shares have outperformed the Zacks Retail - Pharmacies and Drug Stores industry over the past year (+17.7% vs. +4.9%). The Zacks analyst believes that the company’s continued investments to address housing insecurities and enhance access to health care services in underserved communities seem encouraging.\nThe raised earnings per share (EPS) guidance for 2022 buoys optimism. In fact, CVS Health exited the first quarter of 2022 with earnings and revenues beating the Zacks Consensus Estimate.\nYet, the contraction of margins on escalating costs does not bode well. The decline in operating profit due to the pending litigation with the state of Florida to settle all opioid claims against CVS Health raises apprehension.\n(You can read the full research report on CVS here >>>)\n\nOther noteworthy reports we are featuring today include Lowe\'s Companies, Inc. (LOW), Citigroup Inc. (C), and Canadian National Railway Co. (CNI).\nMark Vickery\nSenior Editor\nNote: Sheraz Mian heads the Zacks Equity Research department and is a well-regarded expert of aggregate earnings. He is frequently quoted in the print and electronic media and publishes the weekly Earnings Trends and Earnings Preview reports. If you want an email notification each time Sheraz publishes a new article, please click here>>>\nToday\'s Must Read\nBerkshire (BRK.B) Continues to Gain From Insurance Business\nDisney (DIS) Banks on Disney+ Growth & Reopening of Parks\nRobust Pharmacy Sales Aid CVS Health (CVS), Weak Margins Ail\nFeatured Reports\nLowe\'s (LOW) Pro Customer Strategy May Help Lift Sales\nPer the Zacks analyst, Lowe\'s pro customer strategy, omni-channel efforts and merchandising initiatives may help boost sales. Pro customer sales increased 20% during the first quarter of fiscal 2022.\nCitigroup (C) Progresses on Strategic Sales Amid Rising Costs\nPer the Zacks analyst, Citigroup\'s progress on the consumer banking business exit will help focus on core operations. Yet, revamping technology and risk management framework might elevate expenses.\nDividends & Buyback Aid Canadian National (CNI), Expenses Ail\nThe Zacks analyst likes the shareholder-friendly measures adopted by Canadian National. However, rising operating expenses are concerning as they are likely to keep the bottom line under pressure.\nGeneral Electric (GE) Benefits from Portfolio Restructuring\nThe Zacks analyst is optimistic about the company\'s portfolio reshaping actions, which is expected to drive its growth. The company\'s measures to reward its shareholders are encouraging.\nEnterprise (EPD) Banks on $4.6B Major Midstream Projects\nPer the Zacks analyst, Enterprise Products\' $4.6 billion of major capital projects under construction are likely to provide incremental fee-based revenues.\nMomentum in Flash Business to Benefit Pure Storage (PSTG)\nPer the Zacks analyst, Pure Storage is expected to benefit from robust demand for FlashArray and FlashBlade businesses. Supply chain woes and stiff competition remain concerns.\nCustomer Addition, Debt Management Aid UGI Corporation (UGI)\nPer the Zacks analyst UGI Corporation\'s continuous expansion of its customers is increasing demand for its services and efficient debt management will boost its profitability.\nNew Upgrades\nIngevity (NGVT) Gains on Strong Demand, Capacity Expansion\nPer the Zacks analyst, strong demand for engineered polymers and industrial specialties applications will drive Ingevity\'s top line. It will also gain from its actions to boost production capacity.\nCactus (WHD) to Gain From Higher Wellhead Equipment Sales\nThe Zacks analyst is upbeat about Cactus\' higher sales of wellhead and production-related equipment due to rising customer drilling activity. This will get translated into increased cashflows.\nStrong E-commerce Demand Aids Air Transport Services (ATSG)\nThe Zacks analyst is impressed with upbeat e-commerce demand. Strong performance of the Cargo Aircraft Management unit is an added positive.\nNew Downgrades\nDeclining Demand For COVID-19 Treatments Impact Roche (RHHBY)\nPer the Zacks analyst, reduced demand for its COVID-19 medicines and diagnostics, which fuelled growth in 2021 will impact Roche in 2022. Biosimilar competition for drugs weighs on performance as well\nRising Expenses & Declining Bitcoin Revenues Hurt Block (SQ)\nPer the Zacks analyst, Block is suffering from increasing product development and Cash App marketing expenses. Also, declining bitcoin revenues due to slowdown in trading activities are concerns.\nInflationary Pressure & Higher Input Cost Hurt Otis (OTIS)\nPer the Zacks analyst, Otis has been witnessing intense inflation, higher cost of the input and higher research and development expenses.\n\nZacks Names "Single Best Pick to Double"\nFrom thousands of stocks, 5 Zacks experts each have chosen their favorite to skyrocket +100% or more in months to come. From those 5, Director of Research Sheraz Mian hand-picks one to have the most explosive upside of all.\nIt’s a little-known chemical company that’s up 65% over last year, yet still dirt cheap. With unrelenting demand, soaring 2022 earnings estimates, and $1.5 billion for repurchasing shares, retail investors could jump in at any time.\nThis company could rival or surpass other recent Zacks’ Stocks Set to Double like Boston Beer Company which shot up +143.0% in little more than 9 months and NVIDIA which boomed +175.9% in one year.\nFree: See Our Top Stock and 4 Runners Up >>\n\nWant the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report\n \nCitigroup Inc. (C): Free Stock Analysis Report\n \nCanadian National Railway Company (CNI): Free Stock Analysis Report\n \nLowe\'s Companies, Inc. (LOW): Free Stock Analysis Report\n \nBerkshire Hathaway Inc. (BRK.B): Free Stock Analysis Report\n \nCVS Health Corporation (CVS): Free Stock Analysis Report\n \nThe Walt Disney Company (DIS): Free Stock Analysis Report\n \nTo read this article on Zacks.com click here.\n \nZacks Investment Research\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_publisher': None, 'news_lsa_summary': "The Zacks analyst believes that Disney+’s profitability is expected to be negatively impacted by higher investments in content, which will drive up programming and production costs at Media and Entertainment Distribution. (You can read the full research report on Walt Disney here >>>) CVS Health shares have outperformed the Zacks Retail - Pharmacies and Drug Stores industry over the past year (+17.7% vs. +4.9%). Today's Research Daily features new research reports on 16 major stocks, including Berkshire Hathaway Inc. (BRK.B), The Walt Disney Co. (DIS) and CVS Health Corp. (CVS).", 'news_luhn_summary': "Today's Research Daily features new research reports on 16 major stocks, including Berkshire Hathaway Inc. (BRK.B), The Walt Disney Co. (DIS) and CVS Health Corp. (CVS). If you want an email notification each time Sheraz publishes a new article, please click here>>> Today's Must Read Berkshire (BRK.B) Continues to Gain From Insurance Business Disney (DIS) Banks on Disney+ Growth & Reopening of Parks Robust Pharmacy Sales Aid CVS Health (CVS), Weak Margins Ail Featured Reports Lowe's (LOW) Pro Customer Strategy May Help Lift Sales Per the Zacks analyst, Lowe's pro customer strategy, omni-channel efforts and merchandising initiatives may help boost sales. (You can read the full research report on Berkshire Hathaway here >>>) Walt Disney shares have declined -38.1% over the year to date period against the Zacks Media Conglomerates industry’s decline of -32.0%.", 'news_article_title': 'Top Research Reports for Berkshire Hathaway, Walt Disney & CVS', 'news_lexrank_summary': "Today's Research Daily features new research reports on 16 major stocks, including Berkshire Hathaway Inc. (BRK.B), The Walt Disney Co. (DIS) and CVS Health Corp. (CVS). If you want an email notification each time Sheraz publishes a new article, please click here>>> Today's Must Read Berkshire (BRK.B) Continues to Gain From Insurance Business Disney (DIS) Banks on Disney+ Growth & Reopening of Parks Robust Pharmacy Sales Aid CVS Health (CVS), Weak Margins Ail Featured Reports Lowe's (LOW) Pro Customer Strategy May Help Lift Sales Per the Zacks analyst, Lowe's pro customer strategy, omni-channel efforts and merchandising initiatives may help boost sales. (You can read the full research report on Berkshire Hathaway here >>>) Walt Disney shares have declined -38.1% over the year to date period against the Zacks Media Conglomerates industry’s decline of -32.0%.", 'news_textrank_summary': "Today's Research Daily features new research reports on 16 major stocks, including Berkshire Hathaway Inc. (BRK.B), The Walt Disney Co. (DIS) and CVS Health Corp. (CVS). (You can read the full research report on Berkshire Hathaway here >>>) Walt Disney shares have declined -38.1% over the year to date period against the Zacks Media Conglomerates industry’s decline of -32.0%. If you want an email notification each time Sheraz publishes a new article, please click here>>> Today's Must Read Berkshire (BRK.B) Continues to Gain From Insurance Business Disney (DIS) Banks on Disney+ Growth & Reopening of Parks Robust Pharmacy Sales Aid CVS Health (CVS), Weak Margins Ail Featured Reports Lowe's (LOW) Pro Customer Strategy May Help Lift Sales Per the Zacks analyst, Lowe's pro customer strategy, omni-channel efforts and merchandising initiatives may help boost sales."}, {'news_url': 'https://www.nasdaq.com/articles/best-entertainment-stocks-to-buy-now-3-to-know', 'news_author': None, 'news_article': 'Are These Entertainment Stocks On Your Watchlist This Week?\nWhile investors are looking for the most active stocks, entertainment stocks are making headlines today. This could be thanks to the box office movie Thor making an estimated $143 million domestically on its opening weekend. Moreover, this is followed by the success of Minions last week of a $125 million opener. This means that movie theaters have possibly returned to pre-pandemic times. As a result, investors could be watching entertainment stocks today.\nAt the same time, entertainment stocks also include gaming and toy companies. For instance, Mattel (NASDAQ: MAT) is making headlines. This comes as Goldman Sachs (NYSE: GS) analyst Michael Ng boosted its rating on Mattel from a Neutral rating to a Buy rating. This upgrade is because Mattel may benefit from several company-specific demand drivers in TV and film content releases. On top of that, Barbie toy sales are already benefiting from the upcoming theatrical release of Barbie. \nAnother entertainment stock worth mentioning is Netflix (NASDAQ: NFLX). The latest season of Stranger Things has become the company’s second series to have more than 1 billion hours watched in the first month. With its two-stage release strategy, it’s quite possible that Stranger Things will become the top series watched of all time on the streaming platform. Considering all of this, here are three more entertainment stocks for your watchlist in the stock market today.\nEntertainment Stocks To Watch Today\nAMC Entertainment Holdings Inc. (NYSE: AMC)\nHasbro Inc. (NASDAQ: HAS)\nWalt Disney Company (NYSE: DIS)\nAMC Entertainment Holdings Inc.\nStarting us off today, we have AMC Entertainment Holdings, a company that runs a movie theater chain. In fact, it is one of the largest movie theater chains in the world, with over 10,000 screens and 950 theaters. The company also delivers a distinctive and affordable movie-going experience with its loyalty and subscription programs and enhanced food and beverage choices.\nToday, it announced that it has achieved its busiest weekend of 2022, both globally and domestically from July 7 to July 10. This was led by the opening of Thor: Love and Thunder, the box office has also been propelled by several summer blockbuster titles. Domestically, AMC’s admissions revenue outperformed the same weekend in 2019 by an estimated 14%. Adding in the company’s international theaters, global admissions revenue outpaced 2019 by 12%. \nCEO of AMC, Adam Aron had this to say, “The box office results week after week after week this summer have demonstrated what we at AMC have believed to be true all along: consumers want to experience their movies through the unrivaled experience of a movie theater, with its big screens, big sound, and comfortable big seats. Our now busiest weekend of 2022 was powered by several big movie titles all playing simultaneously. Happily, the enduring resilience and consumer appeal of theatrical exhibition are on full display.” The company also announced that its second-quarter financials will be reported on August 4, 2022, after the market closes. All things considered, is AMC stock worth investing in right now?\nSource: TD Ameritrade TOS\n[Read More] Stock Market Today: Dow Jones, S&P 500 Slide; Twitter Stock Falters After Musk Attempts To Terminate $44 Billion Deal\nHasbro Inc.\nNext, we have Hasbro, a global play and entertainment company that continues to deliver immersive brand experiences. It serves its global audience through consumer products that include toys and games. It also owns eOne, an independent studio, and Wizards of the Coast, an award-winning developer of tabletop and digital games best known for its fantasy franchises like Magic: The Gathering.\nIn late June, the company announced a partnership with the National Basketball Association (NBA) and National Basketball Players Association (NBPA) for the highly anticipated re-launch of Starting Lineup. Starting Lineup is an iconic sports collectibles brand and will include an exclusive officially licensed Panini NBA trading card. Launching this fall in partnership with Fanatics, a global digital sports platform, the Starting Lineup brand will feature legendary NBA superstars as part of its first wave of figures and will be available for pre-order starting September 22 exclusively on Hasbro Pulse and across the Fanatics network of online sites, including Fanatics.com and official league stores.\nOn June 16, 2022, the company also issued a letter to its shareholders. In it, Hasbro says that its CEO Chris Cocks will be moving forward with the refinement of Hasbro’s long-term strategy. This includes actions to drive meaningful change by focusing on fewer, bigger opportunities, profitably growing our world-class portfolio of brands, and amplifying our industry-leading gaming portfolio. The idea is to be more customer-centric, and place a spotlight on games, multi-generational play, and entertainment for its customers. Now, is HAS stock worth looking into today?\nSource: TD Ameritrade TOS\n[Read More] Best Stocks To Invest In 2022? 3 Consumer Stocks To Watch\nWalt Disney Company\nLast but not least, we have the worldwide entertainment company, Walt Disney. The company operates in two segments, Disney Media and Entertainment Distribution (DMED) and Disney Parks, Experiences, and Products are the company’s segments (DPEP). On one hand, the DMED segment includes the Company’s global production and distribution of film and episodic television programs. On the other hand, the DPEP segment of the Company’s business consists of the selling of theme park admissions. The segment also includes the sale of food, beverage, and merchandise at its theme parks and resorts.\nIn its DPEP segment, Walt Disney has been launching new rides this year to compete with its rival, Universal Studios. Today, the company is preparing to open a new ride at the Magic Kingdom in Orlando. The successful ride at Shanghai China Park, known as The Tron Lightcycle Power Run, has inspired this new ride. The ride pays tribute to the original 1982 Tron film and its sequel, Tron: Legacy, and is partially enclosed giving guests a feel of riding through the grid.\nMeanwhile, Thor: Love and Thunder is the 29th feature film produced by Marvel Studios since it was acquired by Disney in 2009. The movie has solidified another blockbuster performance for Marvel Studios. Additionally, it is the third-highest domestic opening-weekend gross since theaters reopened following the pandemic. This is after two other Marvel-produced films, Spiderman: No Way Home and Doctor Strange in the Multiverse of Madness. With such success over the weekend, is DIS stock a buy right now?\nSource: TD Ameritrade TOS\nIf you enjoyed this article and you’re interested in learning how to trade so you can have the best chance to profit consistently then you need to checkout this YouTube channel.\nCLICK HERE RIGHT NOW!!\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_publisher': None, 'news_lsa_summary': 'Happily, the enduring resilience and consumer appeal of theatrical exhibition are on full display.” The company also announced that its second-quarter financials will be reported on August 4, 2022, after the market closes. Entertainment Stocks To Watch Today AMC Entertainment Holdings Inc. (NYSE: AMC) Hasbro Inc. (NASDAQ: HAS) Walt Disney Company (NYSE: DIS) AMC Entertainment Holdings Inc. The company also delivers a distinctive and affordable movie-going experience with its loyalty and subscription programs and enhanced food and beverage choices.', 'news_luhn_summary': 'Entertainment Stocks To Watch Today AMC Entertainment Holdings Inc. (NYSE: AMC) Hasbro Inc. (NASDAQ: HAS) Walt Disney Company (NYSE: DIS) AMC Entertainment Holdings Inc. The company operates in two segments, Disney Media and Entertainment Distribution (DMED) and Disney Parks, Experiences, and Products are the company’s segments (DPEP). The company also delivers a distinctive and affordable movie-going experience with its loyalty and subscription programs and enhanced food and beverage choices.', 'news_article_title': 'Best Entertainment Stocks To Buy Now? 3 To Know', 'news_lexrank_summary': 'Entertainment Stocks To Watch Today AMC Entertainment Holdings Inc. (NYSE: AMC) Hasbro Inc. (NASDAQ: HAS) Walt Disney Company (NYSE: DIS) AMC Entertainment Holdings Inc. The company also delivers a distinctive and affordable movie-going experience with its loyalty and subscription programs and enhanced food and beverage choices. Happily, the enduring resilience and consumer appeal of theatrical exhibition are on full display.” The company also announced that its second-quarter financials will be reported on August 4, 2022, after the market closes.', 'news_textrank_summary': 'Entertainment Stocks To Watch Today AMC Entertainment Holdings Inc. (NYSE: AMC) Hasbro Inc. (NASDAQ: HAS) Walt Disney Company (NYSE: DIS) AMC Entertainment Holdings Inc. 3 Consumer Stocks To Watch Walt Disney Company Last but not least, we have the worldwide entertainment company, Walt Disney. The company also delivers a distinctive and affordable movie-going experience with its loyalty and subscription programs and enhanced food and beverage choices.'}, {'news_url': 'https://www.nasdaq.com/articles/bts-documentary-series-concert-coming-to-disney-streaming-services', 'news_author': None, 'news_article': 'Adds details on Disney streaming services\nLOS ANGELES, July 11 (Reuters) - Walt Disney Co DIS.N announced a deal on Monday that will bring a documentary series and concert featuring K-pop band BTS to the company\'s streaming services.\nThe series will debut next year and include music and footage of the South Korean group from the past nine years. Called "BTS Monuments: Beyond the Star," it will showcase "the daily lives, thoughts and plans" of the group\'s members "as they prepare for their second chapter," Disney said in a statement.\nLast month, BTS announced the band was taking a break while members worked on solo projects L1N2Y11TK.\nDisney said the programming would be released globally on its streaming services, including on Disney+. Its other streaming platforms include Hulu and Disney+Hotstar.\nThe company did not say which services would carry the programming in which markets.\nThe agreement with BTS management company HYBE also allows for Disney to run a recording of a stadium concert in Los Angeles in November 2021, the group\'s first performance before fans after a two-year interruption forced by the COVID-19 pandemic.\nIn addition, the deal includes a reality show called "In the Soop: Friendcation" and featuring V from BTS, "Itaewon Class" TV star Seo-jun Park, "Parasite" movie actor Woo-shik Choi, singer and actor Hyung-sik Park and rapper Peakboy.\nThe show would follow the five friends "venturing on a surprise trip" and "enjoying a variety of leisure and fun activities," Disney said.\nDisney also would introduce new programming from other HYBE artists over the next few years, the statement said.\n(Reporting by Lisa Richwine; Editing by Bradley Perrett)\n(([email protected]; Follow me on Twitter @LARichwine; 1-424-434-7324; Reuters Messaging: [email protected]))\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_publisher': None, 'news_lsa_summary': 'Called "BTS Monuments: Beyond the Star," it will showcase "the daily lives, thoughts and plans" of the group\'s members "as they prepare for their second chapter," Disney said in a statement. The agreement with BTS management company HYBE also allows for Disney to run a recording of a stadium concert in Los Angeles in November 2021, the group\'s first performance before fans after a two-year interruption forced by the COVID-19 pandemic. The show would follow the five friends "venturing on a surprise trip" and "enjoying a variety of leisure and fun activities," Disney said.', 'news_luhn_summary': 'Adds details on Disney streaming services LOS ANGELES, July 11 (Reuters) - Walt Disney Co DIS.N announced a deal on Monday that will bring a documentary series and concert featuring K-pop band BTS to the company\'s streaming services. Disney said the programming would be released globally on its streaming services, including on Disney+. Called "BTS Monuments: Beyond the Star," it will showcase "the daily lives, thoughts and plans" of the group\'s members "as they prepare for their second chapter," Disney said in a statement.', 'news_article_title': 'BTS documentary series, concert coming to Disney streaming services', 'news_lexrank_summary': "Adds details on Disney streaming services LOS ANGELES, July 11 (Reuters) - Walt Disney Co DIS.N announced a deal on Monday that will bring a documentary series and concert featuring K-pop band BTS to the company's streaming services. Disney said the programming would be released globally on its streaming services, including on Disney+. Disney also would introduce new programming from other HYBE artists over the next few years, the statement said.", 'news_textrank_summary': 'Adds details on Disney streaming services LOS ANGELES, July 11 (Reuters) - Walt Disney Co DIS.N announced a deal on Monday that will bring a documentary series and concert featuring K-pop band BTS to the company\'s streaming services. The agreement with BTS management company HYBE also allows for Disney to run a recording of a stadium concert in Los Angeles in November 2021, the group\'s first performance before fans after a two-year interruption forced by the COVID-19 pandemic. Called "BTS Monuments: Beyond the Star," it will showcase "the daily lives, thoughts and plans" of the group\'s members "as they prepare for their second chapter," Disney said in a statement.'}, {'news_url': 'https://www.nasdaq.com/articles/7-blue-chip-stocks-to-buy-after-last-months-massive-beating', 'news_author': None, 'news_article': 'InvestorPlace - Stock Market News, Stock Advice & Trading Tips\nOverall, blue-chip stocks are ones that are considered to be the most valuable and reliable across the stock market. In turn, investing in blue-chip stocks is a popular way to make money.\nThere are many reasons for this, one of them being that they have been around for a long time and have been performing well. They also tend to be more stable than other stocks because they’re much less volatile than other companies.\nHowever, the most important aspect of these stocks is that they can withstand any financial storm and continue to provide steady returns for investors.\nFurthermore, blue-chip stocks are traditionally considered to have a high market capitalization, strong financial performance and stable growth rates.\nSo, with all of this in mind, I have selected seven blue-chip stocks that did not perform well in June. But, while having an off month in rough market conditions can be scary, these companies have a great record and tend to bounce back very quickly.\n7 Best Biotech Stocks to Buy in July 2022\nNow, let’s dive in and take a closer look at each one.\nTicker Company Price\nHD Home Depot $288.57\nACN Accenture $275.87\nMCD McDonald’s $254.03\nDIS Disney $93.95\nAAL American Airlines $13.40\nSHEL Shell $48.36\nMNDY Monday.com $110.76\nBlue-Chip Stocks to Buy: Home Depot (HD)\nSource: Jonathan Weiss / Shutterstock.com\nHome Depot (NYSE:HD) is a retail home improvement store that provides a wide variety of products. The company was founded in 1978 and is one of the largest retail stores in the United States.\nHome Depot has more than 2,300 stores in all of North America and employs more than 500,000 associates. Additionally, the company generated more than $150 billion in revenue worldwide last year, good for a 14% boost year-over-year (YOY). This growth comes as the home improvement business has been growing and will continue to grow with the recent rise in work-from-home jobs.\nOf course, the recent pessimism surrounding mortgage rates has dampened the stock price, though. Undoubtedly, Home Depot is facing tough YOY comps, and rising interest rates do not help. But the company has shown the fundamentals to withstand tough economic conditions.\nIt has reported the latest quarterly results and a 3.8% increase in revenues. Net earnings saw a 2.07% rise, too. These are not numbers to write home about. While the company might have a tough year in revenues, investors should expect these numbers because things are returning to normal. People aren’t spending as much time outside their homes; It will be a couple of quarters before things are in balance.\nMeanwhile, it has been paying dividends for more than 30 years and hasn’t reduced its dividend rate in those three decades. In turn, that will keep investors happy while they wait for revenues to return.\nAccenture (ACN)\nSource: Tada Images/ShutterStock.com\nAccenture is one of the most highly-respected global management consulting, technology services and outsourcing companies with a long history. Ir provides various value-added solutions for businesses to improve efficiency and innovation.\nIt is one of the largest consulting firms in the world and has 710,000 employees. The company offers a wide range of services to help organizations improve performance and create a competitive advantage.\nAccenture has been providing digital transformation services for various companies across the globe. It has been using its AI-powered platform to help companies with their content marketing strategies.\nFurthermore, Accenture is a company with a lot of good qualities to it, such as quickly adjusting to changing trends in the market and showing high consistency in achieving good results. It also has an excellent balance sheet, a testament to the management’s fiscal discipline.\nRevenue in the latest quarter was $16.2 billion, way beyond what analysts had expected. With that, Accenture forecasts revenue from $15 billion to $15.5 billion for the current quarter.\n7 Best Cheap Stocks Under $10 to Buy in July\nOverall, Accenture offers many great services that are crucial to today’s world. And even though the company is doing well now, it will only continue to grow its services — making it a great pick for the future.\nBlue-Chip Stocks to Buy: McDonald’s (MCD)\nSource: 8th.creator / Shutterstock.com\nMcDonald’s (NYSE:MCD) is an American fast-food restaurant chain with a worldwide presence.\nThe company’s history started in 1940 when the first McDonald’s opened in San Bernardino, California. The company’s founder, Ray Kroc, was a salesman from Illinois who had become successful in the restaurant business. He made his way to California and discovered that there were no restaurants that served high-quality burgers and fries at a low price. Kroc soon found out that he could use his experience to open his restaurant that would have some of the features he admired about the drive-in restaurants he had seen on one of his trips to southern California.\nMcDonald’s has been one of the most successful companies in recent history, and it is one of America’s favorite brands. The success of McDonald’s is largely due to its ability to adapt to changes in society and culture. The company has created new products while keeping its core products on offer, like the Big Mac and fries.\nMcDonald’s has been successful in the past 50 years because it has managed to keep up with the changing times. Recent investments in technology, such as mobile ordering and delivery, allow the company to focus on bettering its digital offerings.\nThe increasing popularity of digital orders during the pandemic cannot be ignored by McDonald’s, and it needs to find ways to keep up. Digital sales increased 60% in 2021, which is essential for its future success. Other than that, the brand speaks for itself.\nDisney (DIS)\nSource: ilikeyellow / Shutterstock.com\nDisney (NYSE:DIS) is a world-renowned company that has been around for decades. It is known for its movies, theme parks, and more.\nWalt Disney has become one of the world’s most powerful media and entertainment companies. Just some of its great achievements include ABC and ESPN. It owns many other important holdings like Disney World, Disney+, Hulu, etc.\nDisney is one of the most diversified companies in the world. It has a portfolio that includes theme parks, television networks, merchandise licensing, video games, and movie studios.\nAt any particular time, Disney will have one division doing particularly well. During Covid-19, streaming picked up because of people sheltering in. The Walt Disney Company reported that its entertainment and tech platform, Disney+, had 137.7 million subscribers worldwide as of Q2. There are reasons to be cheerful-Disney Plus announced that it gained 7.9 million new subscribers during Q2. At a time when Netflix (NASDAQ:NFLX) is losing subscribers, this is music to investors’ ears.\n7 Best Financial Stocks to Buy in July 2022\nAt the same time, you cannot ignore Disney theme parks, resort hotels, and cruise ships. That business segment will return this year, providing additional cushion to its bottom line.\nBlue-Chip Stocks to Buy: American Airlines (AAL)\nSource: GagliardiPhotography / Shutterstock.com\nAmerican Airlines (NASDAQ:AAL) is an American airline company founded in 1930. The company’s headquarters are located in Fort Worth, Texas.\nAmerican Airlines is the world’s largest airline, with a fleet of more than 900 aircraft and counting! Revenue-wise, they are unmatched as well.\nAmerican Airlines struggled during the pandemic like the rest of the airline sector. However, things have begun to return to normal, and you can see that in the TSA checkpoint travel numbers. AAL benefits from the trend, and March was the first month since Covid swept through that its revenue surpassed 2019 levels. The airline is flying almost all the flights on its 2019 Q2 schedule. It is doing better than Delta and United Airlines.\nHowever, AAL, one of the largest airlines in the world, has had a tough quarter. Despite doubling revenue from the same time last year, it posted a net loss. American Airlines said it paid $2.80 a gallon for fuel in Q1, a big jump of 65% year on year. So it’s not like AAL is completely out of the rut. However, it is in a much better position than it was just a couple of years back.\nShell (SHEL)\nSource: JuliusKielaitis / Shutterstock.com\nShell (NYSE:SHEL) has been a multinational oil and gas company in the industry for over 100 years.\nIn addition to exploring for and producing crude oil and natural gas, Shell manufactures products such as liquefied natural gas (LNG), gasoline, diesel fuel, jet fuel, petrochemicals, hydrogen, and electricity.\nInterestingly, as Shell moves away from fossil fuels, it is now investing in renewables and carbon capture. This requires massive capital investments. Therefore, Shell’s valuation will come under pressure for the foreseeable future. But in the long run, it will help the supermajor energy company because the general trend is toward a carbon-neutral future.\nMore than 100 countries have signed the newly formed Global Alliance for Zero Emissions by 2050. It’s the largest coalition in this area to date and an important step in working towards achieving net-zero emissions by 2050.\n7 Best Renewable Energy Stocks to Buy in July 2022 \nCompanies that align with these goals will be better positioned for the future. Shell is a good example of this.\nBlue-Chip Stocks to Buy: Monday.com (MNDY)\nSource: shutterstock.com/monticello\nMonday.com (NASDAQ:MNDY) is a project management software for teams of all sizes. It is designed to help teams work together more efficiently and get more done in less time. The platform helps with collaboration and communication, making it easy for teams to plan, manage, and track progress on any project or initiative.\nWith Monday.com you can create custom templates that allow you to focus on the things that matter most to your team while letting Monday take care of the rest. Users can collaborate with their team members in real-time across different devices and work seamlessly with clients, vendors, and partners through secure access without any IT headaches.\nMonday.com is a project management software that helps teams collaborate and manage projects. It provides tasks and time management software, Gantt charts, Kanban boards, calendar integration, etc.\nOn May 16, the project management company announced a healthy 84% increase in revenue. Revenue of top-tier customers increased 2 fold, while Net Dollar Retention (NDR) grew 150% year over year among customers with more than $50K ARR.\nFor the fiscal year 2022, Monday.com has projected total revenue between $488 million and $492 million. This represents year-over-year growth of 58% to 60%.\nMonday.com is one of the fastest-growing B2B brands as it has barely scratched its potential as a revenue-generating brand. It sees an addressable market size of $87.6 billion by 2024 making it a great pick for the future.\nOn the publication date, Faizan Farooque did not have (either directly or indirectly) any positions in the securities mentioned in this article. The opinions expressed in this article are those of the writer, subject to the InvestorPlace.com Publishing Guidelines.\nThe post 7 Blue-Chip Stocks to Buy After Last Month’s Massive Beating appeared first on InvestorPlace.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_publisher': None, 'news_lsa_summary': '7 Best Financial Stocks to Buy in July 2022 At the same time, you cannot ignore Disney theme parks, resort hotels, and cruise ships. Ticker Company Price HD Home Depot $288.57 ACN Accenture $275.87 MCD McDonald’s $254.03 DIS Disney $93.95 AAL American Airlines $13.40 SHEL Shell $48.36 MNDY Monday.com $110.76 Blue-Chip Stocks to Buy: Home Depot (HD) Source: Jonathan Weiss / Shutterstock.com Home Depot (NYSE:HD) is a retail home improvement store that provides a wide variety of products. It also has an excellent balance sheet, a testament to the management’s fiscal discipline.', 'news_luhn_summary': 'Ticker Company Price HD Home Depot $288.57 ACN Accenture $275.87 MCD McDonald’s $254.03 DIS Disney $93.95 AAL American Airlines $13.40 SHEL Shell $48.36 MNDY Monday.com $110.76 Blue-Chip Stocks to Buy: Home Depot (HD) Source: Jonathan Weiss / Shutterstock.com Home Depot (NYSE:HD) is a retail home improvement store that provides a wide variety of products. It also has an excellent balance sheet, a testament to the management’s fiscal discipline. He made his way to California and discovered that there were no restaurants that served high-quality burgers and fries at a low price.', 'news_article_title': '7 Blue-Chip Stocks to Buy After Last Month’s Massive Beating', 'news_lexrank_summary': 'Ticker Company Price HD Home Depot $288.57 ACN Accenture $275.87 MCD McDonald’s $254.03 DIS Disney $93.95 AAL American Airlines $13.40 SHEL Shell $48.36 MNDY Monday.com $110.76 Blue-Chip Stocks to Buy: Home Depot (HD) Source: Jonathan Weiss / Shutterstock.com Home Depot (NYSE:HD) is a retail home improvement store that provides a wide variety of products. It also has an excellent balance sheet, a testament to the management’s fiscal discipline. He made his way to California and discovered that there were no restaurants that served high-quality burgers and fries at a low price.', 'news_textrank_summary': 'Ticker Company Price HD Home Depot $288.57 ACN Accenture $275.87 MCD McDonald’s $254.03 DIS Disney $93.95 AAL American Airlines $13.40 SHEL Shell $48.36 MNDY Monday.com $110.76 Blue-Chip Stocks to Buy: Home Depot (HD) Source: Jonathan Weiss / Shutterstock.com Home Depot (NYSE:HD) is a retail home improvement store that provides a wide variety of products. It also has an excellent balance sheet, a testament to the management’s fiscal discipline. He made his way to California and discovered that there were no restaurants that served high-quality burgers and fries at a low price.'}, {'news_url': 'https://www.nasdaq.com/articles/bts-documentary-series-concert-to-air-on-disney', 'news_author': None, 'news_article': 'LOS ANGELES, July 11 (Reuters) - Walt Disney Co DIS.N announced a deal on Monday that will bring a documentary series and concert featuring K-pop band BTS to the Disney+ streaming service.\nThe series will debut on Disney+ next year and include music and footage of the South Korean group from the past nine years. Called "BTS Monuments: Beyond the Star," it will showcase "the daily lives, thoughts and plans" of the group\'s members "as they prepare for their second chapter," Disney said in a statement.\nLast month, BTS announced the band was taking a break while members worked on solo projects L1N2Y11TK.\nDisney\'s agreement with BTS management company HYBE also allows for Disney+ to run a recording of a stadium concert in Los Angeles in November 2021, the group\'s first performance before fans after a two-year interruption forced by the COVID-19 pandemic.\nIn addition, the deal includes a reality show called "In the Soop: Friendcation" and featuring V from BTS, "Itaewon Class" TV star Seo-jun Park, "Parasite" movie actor Woo-shik Choi, singer and actor Hyung-sik Park and rapper Peakboy.\nThe show would follow the five friends "venturing on a surprise trip" and "enjoying a variety of leisure and fun activities," Disney said.\nDisney also would introduce new programming from other HYBE artists over the next few years, the statement said.\n(Reporting by Lisa Richwine; Editing by Bradley Perrett)\n(([email protected]; Follow me on Twitter @LARichwine; 1-424-434-7324; Reuters Messaging: [email protected]))\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_publisher': None, 'news_lsa_summary': 'LOS ANGELES, July 11 (Reuters) - Walt Disney Co DIS.N announced a deal on Monday that will bring a documentary series and concert featuring K-pop band BTS to the Disney+ streaming service. Called "BTS Monuments: Beyond the Star," it will showcase "the daily lives, thoughts and plans" of the group\'s members "as they prepare for their second chapter," Disney said in a statement. Disney\'s agreement with BTS management company HYBE also allows for Disney+ to run a recording of a stadium concert in Los Angeles in November 2021, the group\'s first performance before fans after a two-year interruption forced by the COVID-19 pandemic.', 'news_luhn_summary': 'LOS ANGELES, July 11 (Reuters) - Walt Disney Co DIS.N announced a deal on Monday that will bring a documentary series and concert featuring K-pop band BTS to the Disney+ streaming service. The series will debut on Disney+ next year and include music and footage of the South Korean group from the past nine years. Called "BTS Monuments: Beyond the Star," it will showcase "the daily lives, thoughts and plans" of the group\'s members "as they prepare for their second chapter," Disney said in a statement.', 'news_article_title': 'BTS documentary series, concert to air on Disney+', 'news_lexrank_summary': 'LOS ANGELES, July 11 (Reuters) - Walt Disney Co DIS.N announced a deal on Monday that will bring a documentary series and concert featuring K-pop band BTS to the Disney+ streaming service. The series will debut on Disney+ next year and include music and footage of the South Korean group from the past nine years. Called "BTS Monuments: Beyond the Star," it will showcase "the daily lives, thoughts and plans" of the group\'s members "as they prepare for their second chapter," Disney said in a statement.', 'news_textrank_summary': "LOS ANGELES, July 11 (Reuters) - Walt Disney Co DIS.N announced a deal on Monday that will bring a documentary series and concert featuring K-pop band BTS to the Disney+ streaming service. Disney's agreement with BTS management company HYBE also allows for Disney+ to run a recording of a stadium concert in Los Angeles in November 2021, the group's first performance before fans after a two-year interruption forced by the COVID-19 pandemic. The series will debut on Disney+ next year and include music and footage of the South Korean group from the past nine years."}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 93.43000030517578, 'high': 95.33999633789062, 'open': 95.0, 'close': 93.63999938964844, 'ema_50': 104.60824696936798, 'rsi_14': 48.04905950846932, 'target': 93.5999984741211, 'volume': 7643700.0, 'ema_200': 132.03221932858267, 'adj_close': 93.33580780029295, 'rsi_lag_1': 55.00634816570405, 'rsi_lag_2': 54.90197592370794, 'rsi_lag_3': 55.769239870924835, 'rsi_lag_4': 54.451856657775714, 'rsi_lag_5': 41.49267899927408, 'macd_lag_1': -2.475911236089644, 'macd_lag_2': -2.60924104220814, 'macd_lag_3': -2.9013202757857357, 'macd_lag_4': -3.094464176175549, 'macd_lag_5': -3.40797548383928, 'macd_12_26_9': -2.5203291635903327, 'macds_12_26_9': -3.0598141200200226}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 93.5999984741211, '2022-07-13': 92.94000244140624, '2022-07-14': 91.83999633789062, '2022-07-15': 95.1999969482422, '2022-07-18': 95.6999969482422, '2022-07-19': 99.61000061035156, '2022-07-20': 103.3499984741211, '2022-07-21': 104.18000030517578, '2022-07-22': 102.72000122070312, '2022-07-25': 102.69000244140624}, '1_month_later': {'2022-08-11': 117.69000244140624}, '3_months_later': {'2022-10-11': 93.0999984741211}, '6_months_later': {'2023-01-11': 96.33000183105467}, '12_months_later': {'2023-07-11': 89.48999786376953}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

DISH

{'date': '2022-07-11', 'ticker': 'DISH', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 17.0, 'high': 18.229999542236328, 'open': 18.040000915527344, 'close': 17.06999969482422, 'ema_50': 21.079919236123327, 'rsi_14': 49.68453537409604, 'target': 17.420000076293945, 'volume': 3344600.0, 'ema_200': 28.964622050866517, 'adj_close': 17.06999969482422, 'rsi_lag_1': 64.77064573366417, 'rsi_lag_2': 49.093649365403294, 'rsi_lag_3': 53.44586242196235, 'rsi_lag_4': 51.14399781078598, 'rsi_lag_5': 40.63527836829652, 'macd_lag_1': -0.8653461401804314, 'macd_lag_2': -0.945616983934876, 'macd_lag_3': -1.0058081802839496, 'macd_lag_4': -1.0741133281004522, 'macd_lag_5': -1.1802900715109566, 'macd_12_26_9': -0.8939049613319696, 'macds_12_26_9': -1.1103049481388794}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 17.420000076293945, '2022-07-13': 17.559999465942383, '2022-07-14': 17.139999389648438, '2022-07-15': 17.75, '2022-07-18': 17.760000228881836, '2022-07-19': 18.21999931335449, '2022-07-20': 19.25, '2022-07-21': 18.90999984741211, '2022-07-22': 18.700000762939453, '2022-07-25': 18.39999961853028}, '1_month_later': {'2022-08-11': 19.3700008392334}, '3_months_later': {'2022-10-11': 13.510000228881836}, '6_months_later': {'2023-01-11': 15.050000190734863}, '12_months_later': {'2023-07-11': 7.25}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

DIV

{'date': '2022-07-11', 'ticker': 'DIV', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 19.26000022888184, 'high': 19.43000030517578, 'open': 19.36000061035156, 'close': 19.31999969482422, 'ema_50': 19.9893659323145, 'rsi_14': 63.669065488593304, 'target': 19.34000015258789, 'volume': 129100.0, 'ema_200': 20.213367557450113, 'adj_close': 17.486591339111328, 'rsi_lag_1': 63.898878934419706, 'rsi_lag_2': 53.963417293484426, 'rsi_lag_3': 51.602569784793666, 'rsi_lag_4': 50.0, 'rsi_lag_5': 41.818193527995184, 'macd_lag_1': -0.22589533937917494, 'macd_lag_2': -0.23296959348295232, 'macd_lag_3': -0.24777391744279242, 'macd_lag_4': -0.24473852435541588, 'macd_lag_5': -0.25766794575705987, 'macd_12_26_9': -0.22256480892427533, 'macds_12_26_9': -0.2608574667566901}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 19.34000015258789, '2022-07-13': 19.32999992370605, '2022-07-14': 19.21999931335449, '2022-07-15': 19.479999542236328, '2022-07-18': 19.43000030517578, '2022-07-19': 19.690000534057617, '2022-07-20': 19.65999984741211, '2022-07-21': 19.6299991607666, '2022-07-22': 19.63999938964844, '2022-07-25': 19.8700008392334}, '1_month_later': {'2022-08-11': 20.709999084472656}, '3_months_later': {'2022-10-11': 17.790000915527344}, '6_months_later': {'2023-01-11': 19.440000534057617}, '12_months_later': {'2023-07-11': 16.8799991607666}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

DIVB

{'date': '2022-07-11', 'ticker': 'DIVB', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 36.720001220703125, 'high': 36.97999954223633, 'open': 36.810001373291016, 'close': 36.77999877929688, 'ema_50': 37.99270629164493, 'rsi_14': 66.00874367773211, 'target': 36.56999969482422, 'volume': 28500.0, 'ema_200': 39.49632108916973, 'adj_close': 35.11033630371094, 'rsi_lag_1': 71.52936910349302, 'rsi_lag_2': 57.575746629088044, 'rsi_lag_3': 55.99214277898604, 'rsi_lag_4': 54.05403614094047, 'rsi_lag_5': 43.3436475833358, 'macd_lag_1': -0.41631028070256804, 'macd_lag_2': -0.4808348191918199, 'macd_lag_3': -0.5602704532562797, 'macd_lag_4': -0.6015827177677977, 'macd_lag_5': -0.6404706760341696, 'macd_12_26_9': -0.38813510994788913, 'macds_12_26_9': -0.5476876229018984}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 36.56999969482422, '2022-07-13': 36.38999938964844, '2022-07-14': 36.16999816894531, '2022-07-15': 36.880001068115234, '2022-07-18': 36.650001525878906, '2022-07-19': 37.59000015258789, '2022-07-20': 37.720001220703125, '2022-07-21': 37.93000030517578, '2022-07-22': 37.61000061035156, '2022-07-25': 37.70000076293945}, '1_month_later': {'2022-08-11': 39.6349983215332}, '3_months_later': {'2022-10-11': 34.13999938964844}, '6_months_later': {'2023-01-11': 38.900001525878906}, '12_months_later': {'2023-07-11': 38.56900024414063}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

DIVO

{'date': '2022-07-11', 'ticker': 'DIVO', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 33.95000076293945, 'high': 34.20000076293945, 'open': 34.02000045776367, 'close': 34.04999923706055, 'ema_50': 34.81371664590963, 'rsi_14': 66.05741160722022, 'target': 33.7599983215332, 'volume': 279400.0, 'ema_200': 35.840157930934616, 'adj_close': 31.67671012878418, 'rsi_lag_1': 66.4041771378796, 'rsi_lag_2': 55.02280539944069, 'rsi_lag_3': 52.87082540508229, 'rsi_lag_4': 50.117626995417886, 'rsi_lag_5': 44.09939359858722, 'macd_lag_1': -0.300280658373282, 'macd_lag_2': -0.35321460104719904, 'macd_lag_3': -0.40342182061657184, 'macd_lag_4': -0.4280367381742991, 'macd_lag_5': -0.44508269395804234, 'macd_12_26_9': -0.27213825807818637, 'macds_12_26_9': -0.38832297706026275}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 33.7599983215332, '2022-07-13': 33.63999938964844, '2022-07-14': 33.380001068115234, '2022-07-15': 34.029998779296875, '2022-07-18': 33.779998779296875, '2022-07-19': 34.380001068115234, '2022-07-20': 34.36000061035156, '2022-07-21': 34.369998931884766, '2022-07-22': 34.369998931884766, '2022-07-25': 34.54999923706055}, '1_month_later': {'2022-08-11': 35.65999984741211}, '3_months_later': {'2022-10-11': 32.47999954223633}, '6_months_later': {'2023-01-11': 36.400001525878906}, '12_months_later': {'2023-07-11': 35.75}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

DIVY

{'date': '2022-07-11', 'ticker': 'DIVY', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 25.0, 'high': 25.3700008392334, 'open': 25.0, 'close': 25.25300025939941, 'ema_50': 25.859002917289274, 'rsi_14': 68.92085945931488, 'target': 25.11400032043457, 'volume': 3300.0, 'ema_200': 25.80720064573582, 'adj_close': 23.67527961730957, 'rsi_lag_1': 66.45857619009196, 'rsi_lag_2': 50.31310545882058, 'rsi_lag_3': 47.05539284392217, 'rsi_lag_4': 47.316215766582125, 'rsi_lag_5': 37.5115515132427, 'macd_lag_1': -0.29836716586142487, 'macd_lag_2': -0.3286543091610383, 'macd_lag_3': -0.3556075740509357, 'macd_lag_4': -0.355615382445734, 'macd_lag_5': -0.35625651119394064, 'macd_12_26_9': -0.2775397589491462, 'macds_12_26_9': -0.3349090712365561}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 25.11400032043457, '2022-07-13': 24.895000457763672, '2022-07-14': 24.599000930786133, '2022-07-15': 24.996000289916992, '2022-07-18': 25.11199951171875, '2022-07-19': 25.625, '2022-07-20': 25.655000686645508, '2022-07-21': 25.49399948120117, '2022-07-22': 25.36000061035156, '2022-07-25': 25.60700035095215}, '1_month_later': {'2022-08-11': 26.761999130249023}, '3_months_later': {'2022-10-11': 23.37800025939941}, '6_months_later': {'2023-01-11': 26.86000061035156}, '12_months_later': {'2023-07-11': 25.39200019836425}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

DJCB

{'date': '2022-07-11', 'ticker': 'DJCB', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 22.290000915527344, 'high': 22.290000915527344, 'open': 22.290000915527344, 'close': 22.290000915527344, 'ema_50': 23.975265112233988, 'rsi_14': 32.272077353891845, 'target': 21.3799991607666, 'volume': 100.0, 'ema_200': 22.132591003452728, 'adj_close': 22.290000915527344, 'rsi_lag_1': 26.845214965194614, 'rsi_lag_2': 24.649355904602416, 'rsi_lag_3': 15.677423706044593, 'rsi_lag_4': 14.332835130209702, 'rsi_lag_5': 16.09854895894358, 'macd_lag_1': -0.9055066885026584, 'macd_lag_2': -0.9261199439950083, 'macd_lag_3': -0.9231772300886831, 'macd_lag_4': -0.8032585999394968, 'macd_lag_5': -0.6735406944064977, 'macd_12_26_9': -0.871060299056623, 'macds_12_26_9': -0.735044038125153}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 21.3799991607666, '2022-07-13': 21.6200008392334, '2022-07-14': 21.350000381469727, '2022-07-15': 21.700000762939453, '2022-07-18': 22.45499992370605, '2022-07-19': 22.229999542236328, '2022-07-20': 22.53499984741211, '2022-07-21': 22.19499969482422, '2022-07-22': 22.334999084472656, '2022-07-25': 22.64999961853028}, '1_month_later': {'2022-08-11': 23.799999237060547}, '3_months_later': {'2022-10-11': 22.23500061035156}, '6_months_later': {'2023-01-11': 21.270000457763672}, '12_months_later': {'2023-07-11': 20.395000457763672}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

DJCO

{'date': '2022-07-11', 'ticker': 'DJCO', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 261.29998779296875, 'high': 261.29998779296875, 'open': 261.29998779296875, 'close': 261.29998779296875, 'ema_50': 270.517164149991, 'rsi_14': 48.30336117571768, 'target': 252.5, 'volume': 900.0, 'ema_200': 299.6192758604376, 'adj_close': 261.29998779296875, 'rsi_lag_1': 61.88727114041551, 'rsi_lag_2': 58.05578022036303, 'rsi_lag_3': 58.28231039274523, 'rsi_lag_4': 60.39317094495512, 'rsi_lag_5': 46.238550449601895, 'macd_lag_1': 0.36329211488600777, 'macd_lag_2': -0.034788301271703403, 'macd_lag_3': -1.1207072913819047, 'macd_lag_4': -1.8235226501740271, 'macd_lag_5': -2.4751381819332323, 'macd_12_26_9': -0.18411839279463038, 'macds_12_26_9': -0.8668909916160779}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 252.5, '2022-07-13': 252.5, '2022-07-14': 251.25, '2022-07-15': 263.7799987792969, '2022-07-18': 257.5, '2022-07-19': 267.0, '2022-07-20': 269.7900085449219, '2022-07-21': 272.04998779296875, '2022-07-22': 271.260009765625, '2022-07-25': 275.239990234375}, '1_month_later': {'2022-08-11': 269.1000061035156}, '3_months_later': {'2022-10-11': 246.6000061035156}, '6_months_later': {'2023-01-11': 296.510009765625}, '12_months_later': {'2023-07-11': 284.0}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

DJD

{'date': '2022-07-11', 'ticker': 'DJD', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 42.29399871826172, 'high': 42.59999847412109, 'open': 42.33000183105469, 'close': 42.31999969482422, 'ema_50': 43.84604348872614, 'rsi_14': 58.49514136115962, 'target': 42.13999938964844, 'volume': 172500.0, 'ema_200': 44.39403905705312, 'adj_close': 40.09243774414063, 'rsi_lag_1': 55.787027225589526, 'rsi_lag_2': 48.68686012415084, 'rsi_lag_3': 46.52634503893792, 'rsi_lag_4': 42.362543022072344, 'rsi_lag_5': 37.34293511945728, 'macd_lag_1': -0.6160459529347548, 'macd_lag_2': -0.6535050161008371, 'macd_lag_3': -0.7091201675513119, 'macd_lag_4': -0.7321182308100163, 'macd_lag_5': -0.7375866576221597, 'macd_12_26_9': -0.5876543036269979, 'macds_12_26_9': -0.6791677330467192}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 42.13999938964844, '2022-07-13': 41.880001068115234, '2022-07-14': 41.7400016784668, '2022-07-15': 42.31999969482422, '2022-07-18': 42.119998931884766, '2022-07-19': 42.61000061035156, '2022-07-20': 42.470001220703125, '2022-07-21': 42.40999984741211, '2022-07-22': 42.16999816894531, '2022-07-25': 42.36000061035156}, '1_month_later': {'2022-08-11': 43.77299880981445}, '3_months_later': {'2022-10-11': 38.04999923706055}, '6_months_later': {'2023-01-11': 45.40999984741211}, '12_months_later': {'2023-07-11': 42.61000061035156}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

DLTR

{'date': '2022-07-11', 'ticker': 'DLTR', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.nasdaq.com/articles/heres-why-investors-should-retain-dave-busters-play-stock-0', 'news_author': None, 'news_article': 'Dave & Buster\'s Entertainment, Inc. PLAY is poised to benefit from its amusement business, digital efforts and expansion of entertainment options. This and focus on traffic-driving initiatives bode well. However, higher expenses and a soft Special Events business are a headwind.\n\nLet us discuss the factors highlighting why investors should retain the stock for the time being.\nGrowth Catalysts\nDave & Buster\'s has been gaining from a higher mix of amusements and a leaner operating model. During the fiscal first quarter, the company benefitted from the launch of its Late Night Happy Hour initiative - including a series of D&B Night with custom content and daily takeovers (featuring club mixes). Positive customer feedback was witnessed as walk-in comp sales (in the late night segment) increased quarter over quarter and 9% from 2019 levels. Also, the company stated benefits from the rollout of eat and play combo, thereby leading to sequential comps improvement in both food and beverage. The company anticipates capitalizing on the pent-up demand by focusing on marketing and programming efforts through digital channels. Also, it emphasized on the rollout of the summer games program to drive visitation to its stores.\n\nDave & Buster\'s intends to broaden its entertainment offerings by including more immersive sports viewing experiences, adding fantasy sports and permitting in-sports betting options. The company plans to explore sports betting partnership to bring sports racing and daily fantasy sports to Dave & Buster\'s stores, subject to regulatory permissions. It is also working on an entertainment programming function focused on creating compelling content-based events to drive reach and boost visit frequency. Thus, with the help of a centralized programming team, Dave & Buster\'s intends to enhance the live sports experience in lieu of becoming a premier sports-watching destination. The company also stated that it intends to give its stores a fresh look to drive organic growth.\n\nIn the first quarter of fiscal 2022, the company initiated a partnership with UFC and WWE to unveil their pay-per-view events to the D&B locations across North America. The association with WWE enables the company to launch SummerSlam in July 2022. Also, the company emphasized on the addition of Main Event to the Dave & Buster’s team. The company anticipates achieving nearly $20 million in synergies within the first two years, backed by store support center alliance and supply-chain competency. It expects the acquisition to be accretive both from an earnings and growth perspective.\n\nThe company believes it can drive traffic by enhancing in-store and out-of-store customer experience via digital and mobile strategic initiatives and the deployment of better technology. During the first quarter of fiscal 2022, the company reported progress with respect to developing its new website. Scheduled to launch during third-quarter fiscal 2022, the application will likely feature special event capabilities, e-commerce and programming content. The company intends to leverage its growing loyalty database and continue to invest in other mobile applications to build customer connections and drive frequent customer visitation.\n\nImage Source: Zacks Investment Research\nSo far this year, shares of Dave & Buster\'s have declined 16.2% compared with the industry’s 18.2% fall.\nConcerns\nThe company has been continuously shouldering increased expenses, which have been detrimental to margins. The rise in labor and commodity cost continues to hurt the company. The industry players expect to witness higher costs due to labor and supply chain shortages for quite some time. The company has been witnessing labor challenges in a handful of markets. At the end of first-quarter fiscal 2022, total operating expenses were $352.4 million, up from $228.3 million reported in the prior-year quarter.\n\nDuring the fiscal first quarter, the company reported softness in the Special Events business. Despite of sequential improvements during the quarter, the Special Events business were down 34.6% from 2019 levels. The company stated that Special Event comparable-store sales (during the first five weeks of second-quarter fiscal 2022) slumped 27.9% from 2019 levels. The company anticipates pandemic-related disruptions to continue for an extended period of time.\nZacks Rank & Key Picks\nDave & Buster\'s currently carries a Zacks Rank #3 (Hold). You can see the complete list of today’s Zacks #1 Rank (Strong Buy) stocks here.\n\nSome better-ranked stocks in the Zacks Retail-Wholesale sector are Dollar Tree Inc. DLTR, BBQ Holdings, Inc. BBQ and Arcos Dorados Holdings Inc. ARCO.\n\nDollar Tree sports a Zacks Rank #1. The company has a trailing four-quarter earnings surprise of 13.1%, on average. Shares of the company have gained 69.1% in the past year.\n\nThe Zacks Consensus Estimate for Dollar Tree’s 2022 sales and earnings per share (EPS) suggests growth of 6.7% and 40.5%, respectively, from the year-ago period’s levels.\n\nBBQ Holdings carries a Zacks Rank #2 (Buy). BBQ Holdings has a long-term earnings growth of 14%. Shares of the company have decreased 30.4% in the past year.\n\nThe Zacks Consensus Estimate for BBQ Holdings’ 2022 sales and EPS suggests growth of 46.1% and 67.6%, respectively, from the year-ago period’s levels.\n\nArcos Dorados carries a Zacks Rank #2. Arcos Dorados has a long-term earnings growth of 34.4%. Shares of the company have risen 11.3% in the past year.\n\nThe Zacks Consensus Estimate for Arcos Dorados’ 2022 sales and EPS suggests growth of 16.6% and 83.3%, respectively, from the year-ago period’s levels.\n\nZacks Names "Single Best Pick to Double"\nFrom thousands of stocks, 5 Zacks experts each have chosen their favorite to skyrocket +100% or more in months to come. From those 5, Director of Research Sheraz Mian hand-picks one to have the most explosive upside of all.\nIt’s a little-known chemical company that’s up 65% over last year, yet still dirt cheap. With unrelenting demand, soaring 2022 earnings estimates, and $1.5 billion for repurchasing shares, retail investors could jump in at any time.\nThis company could rival or surpass other recent Zacks’ Stocks Set to Double like Boston Beer Company which shot up +143.0% in little more than 9 months and NVIDIA which boomed +175.9% in one year.\nFree: See Our Top Stock and 4 Runners Up >>\n\nWant the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report\n \nDollar Tree, Inc. (DLTR): Free Stock Analysis Report\n \nArcos Dorados Holdings Inc. (ARCO): Free Stock Analysis Report\n \nDave & Buster\'s Entertainment, Inc. (PLAY): Free Stock Analysis Report\n \nBBQ Holdings, Inc. (BBQ): Free Stock Analysis Report\n \nTo read this article on Zacks.com click here.\n \nZacks Investment Research\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_publisher': None, 'news_lsa_summary': "Some better-ranked stocks in the Zacks Retail-Wholesale sector are Dollar Tree Inc. DLTR, BBQ Holdings, Inc. BBQ and Arcos Dorados Holdings Inc. ARCO. Dollar Tree, Inc. (DLTR): Free Stock Analysis Report Thus, with the help of a centralized programming team, Dave & Buster's intends to enhance the live sports experience in lieu of becoming a premier sports-watching destination.", 'news_luhn_summary': 'Some better-ranked stocks in the Zacks Retail-Wholesale sector are Dollar Tree Inc. DLTR, BBQ Holdings, Inc. BBQ and Arcos Dorados Holdings Inc. ARCO. Dollar Tree, Inc. (DLTR): Free Stock Analysis Report The Zacks Consensus Estimate for Dollar Tree’s 2022 sales and earnings per share (EPS) suggests growth of 6.7% and 40.5%, respectively, from the year-ago period’s levels.', 'news_article_title': "Here's Why Investors Should Retain Dave & Buster's (PLAY) Stock", 'news_lexrank_summary': 'Some better-ranked stocks in the Zacks Retail-Wholesale sector are Dollar Tree Inc. DLTR, BBQ Holdings, Inc. BBQ and Arcos Dorados Holdings Inc. ARCO. Dollar Tree, Inc. (DLTR): Free Stock Analysis Report During the fiscal first quarter, the company reported softness in the Special Events business.', 'news_textrank_summary': "Some better-ranked stocks in the Zacks Retail-Wholesale sector are Dollar Tree Inc. DLTR, BBQ Holdings, Inc. BBQ and Arcos Dorados Holdings Inc. ARCO. Dollar Tree, Inc. (DLTR): Free Stock Analysis Report Zacks Rank & Key Picks Dave & Buster's currently carries a Zacks Rank #3 (Hold)."}, {'news_url': 'https://www.nasdaq.com/articles/the-tjx-companies-tjx-marmaxx-unit-aids-amid-rising-costs', 'news_author': None, 'news_article': 'Strength in the Marmaxx division has been aiding The TJX Companies, Inc. TJX. The leading off-price retailer is undertaking marketing strategies to fuel growth. Also, its initiatives to enhance offline and online businesses are noteworthy. That being said, The TJX Companies is battling escalated freight costs for a while now.\n\nLet’s delve deeper.\n\nImage Source: Zacks Investment Research\nStrength in Marmaxx Unit\nDuring the first quarter of fiscal 2023, The TJX Companies’ Marmaxx (U.S.) division delivered net sales of $6,872 million, up from $6,640 million reported in the year-ago quarter. Comp-store sales rose 3% in Marmaxx, the company’s largest division. The upside was driven by increased customer traffic, up low single digits. Comp sales also gained from Marmaxx’s overall apparel business, which rose 6%. During the quarter, the company witnessed a rise in Marmaxx’s average basket led by increased average tickets stemming from pricing initiatives and apparel sales forming a higher percentage of the mix.\nWhat Else is Working Well for The TJX Companies?\nThe TJX Companies remains committed to boosting growth through effective marketing initiatives and loyalty programs. Incidentally, its aggressive marketing and advertising campaigns through multiple mediums have been adding growth. In its lastearnings call management highlighted that it is sharpening marketing messages in outlets to emphasize on value leadership to consumers. The company strategically targets pockets of opportunity in specific geographies to boost the messaging. It is on track to attract new shoppers of every age, including a large number of Gen Z and millennial shoppers, to fuel growth. Also, the company’s treasure hunt shopping experience is gaining traction among shoppers.\n\nThe TJX Companies has been benefiting from its solid store and e-commerce growth efforts. The company has been expanding its footprint fast in the United States, Europe, Canada and Australia. During first-quarter fiscal 2023, the company increased its store count by 26 to reach 4,715 stores. It increased square footage by 0.4% year over year during this time. In its lastearnings call management highlighted that it witnessed solid demand for an in-person shopping experience in the last few years. Its flexible buying supply chain and store formats aid the company in opening stores across a wide customer demographic.\n\nWith an increasing number of consumers resorting to online shopping, The TJX Companies has undertaken several initiatives to boost online sales and strengthen its e-commerce business. Management is optimistic about its capabilities to provide fresh merchandise to its stores and online during the summer season.\nHigh Costs: A Hurdle\nThe TJX Companies is grappling with increased freight costs. The company’s merchandise margin was hurt by incremental freight pressure in the first quarter of fiscal 2023. For fiscal 2023, management is projecting 150-160 basis points incremental freight expense. Apart from this, The TJX Companies is battling higher selling, general and administrative (SG&A) expenses for a while now. During the fiscal first quarter, the company’s SG&A expenses came in at $2,094.6 million, up from $2,065 million reported in the year-ago quarter.\n\nThat said, we believe that the aforementioned upsides will likely help this Zacks Rank #3 (Hold) company stay afloat amid such hurdles.\n\nAlthough TSN’s stock has decreased 6.2% in the past three months, it has outpaced the industry’s 15% decline.\n3 Solid Retail Picks\nHere are some better-ranked stocks – Dollar Tree DLTR, Boot Barn Holdings BOOT and Kroger Co. KR.\n\nDollar Tree, a discount variety retail store operator, sports a Zacks Rank #1 (Strong Buy). DLTR has an expected EPS growth rate of 15.5% for three to five years. You can see the complete list of today’s Zacks #1 Rank stocks here.\n\nThe Zacks Consensus Estimate for Dollar Tree’s current financial-year sales and earnings per share (EPS) suggests growth of 6.7% and 40.5%, respectively, from the year-ago period. DLTR has a trailing four-quarter earnings surprise of 13.1%, on average.\n\nBoot Barn Holdings, a lifestyle retailer of western and work-related footwear, apparel and accessories, sports a Zacks Rank #1. BOOT has an expected EPS growth rate of 20% for three-five years.\n\nThe Zacks Consensus Estimate for Boot Barn Holdings’ current financial year sales and EPS suggests growth of 17% and 4.4%, respectively, from the year-ago period’s levels. BOOT has a trailing four-quarter earnings surprise of 25.2%, on average.\n\nKroger, a renowned grocery retailer, carries a Zacks Rank #2 (Buy). Kroger has a trailing four-quarter earnings surprise of 20.3%, on average. KR has an expected EPS growth rate of 11.3% for three to five years.\n\nThe Zacks Consensus Estimate for Kroger’s current financial-year sales and earnings per share suggests growth of 6.7% and 6.3%, respectively, from the year-ago period’s levels. KR has a trailing four-quarter earnings surprise of 20.3%, on average.\n\nZacks Names "Single Best Pick to Double"\nFrom thousands of stocks, 5 Zacks experts each have chosen their favorite to skyrocket +100% or more in months to come. From those 5, Director of Research Sheraz Mian hand-picks one to have the most explosive upside of all.\nIt’s a little-known chemical company that’s up 65% over last year, yet still dirt cheap. With unrelenting demand, soaring 2022 earnings estimates, and $1.5 billion for repurchasing shares, retail investors could jump in at any time.\nThis company could rival or surpass other recent Zacks’ Stocks Set to Double like Boston Beer Company which shot up +143.0% in little more than 9 months and NVIDIA which boomed +175.9% in one year.\nFree: See Our Top Stock and 4 Runners Up >>\n\nWant the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report\n \nThe TJX Companies, Inc. (TJX): Free Stock Analysis Report\n \nDollar Tree, Inc. (DLTR): Free Stock Analysis Report\n \nThe Kroger Co. (KR): Free Stock Analysis Report\n \nBoot Barn Holdings, Inc. (BOOT): Free Stock Analysis Report\n \nTo read this article on Zacks.com click here.\n \nZacks Investment Research\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_publisher': None, 'news_lsa_summary': '3 Solid Retail Picks Here are some better-ranked stocks – Dollar Tree DLTR, Boot Barn Holdings BOOT and Kroger Co. KR. DLTR has an expected EPS growth rate of 15.5% for three to five years. DLTR has a trailing four-quarter earnings surprise of 13.1%, on average.', 'news_luhn_summary': '3 Solid Retail Picks Here are some better-ranked stocks – Dollar Tree DLTR, Boot Barn Holdings BOOT and Kroger Co. KR. DLTR has an expected EPS growth rate of 15.5% for three to five years. DLTR has a trailing four-quarter earnings surprise of 13.1%, on average.', 'news_article_title': "The TJX Companies' (TJX) Marmaxx Unit Aids Amid Rising Costs", 'news_lexrank_summary': '3 Solid Retail Picks Here are some better-ranked stocks – Dollar Tree DLTR, Boot Barn Holdings BOOT and Kroger Co. KR. DLTR has an expected EPS growth rate of 15.5% for three to five years. DLTR has a trailing four-quarter earnings surprise of 13.1%, on average.', 'news_textrank_summary': '3 Solid Retail Picks Here are some better-ranked stocks – Dollar Tree DLTR, Boot Barn Holdings BOOT and Kroger Co. KR. DLTR has an expected EPS growth rate of 15.5% for three to five years. DLTR has a trailing four-quarter earnings surprise of 13.1%, on average.'}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 164.5800018310547, 'high': 167.55999755859375, 'open': 166.5399932861328, 'close': 166.1699981689453, 'ema_50': 157.43253280745472, 'rsi_14': 75.04673896767845, 'target': 164.1300048828125, 'volume': 1482700.0, 'ema_200': 142.1037674644812, 'adj_close': 166.1699981689453, 'rsi_lag_1': 75.30479428532179, 'rsi_lag_2': 70.9991203596272, 'rsi_lag_3': 65.07248983296783, 'rsi_lag_4': 65.13704472134044, 'rsi_lag_5': 50.54239443156021, 'macd_lag_1': 2.5895106490346222, 'macd_lag_2': 2.1634165256529627, 'macd_lag_3': 1.4424983499022233, 'macd_lag_4': 0.8068173568545376, 'macd_lag_5': 0.08044868981320974, 'macd_12_26_9': 2.7989060136341664, 'macds_12_26_9': 1.4576308060544196}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 164.1300048828125, '2022-07-13': 165.94000244140625, '2022-07-14': 168.75999450683594, '2022-07-15': 167.9600067138672, '2022-07-18': 169.5, '2022-07-19': 170.2100067138672, '2022-07-20': 173.32000732421875, '2022-07-21': 171.67999267578125, '2022-07-22': 172.00999450683594, '2022-07-25': 168.4199981689453}, '1_month_later': {'2022-08-11': 165.3699951171875}, '3_months_later': {'2022-10-11': 141.69000244140625}, '6_months_later': {'2023-01-11': 147.94000244140625}, '12_months_later': {'2023-07-11': 147.50999450683594}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

DLTH

{'date': '2022-07-11', 'ticker': 'DLTH', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 9.56999969482422, 'high': 10.210000038146973, 'open': 10.210000038146973, 'close': 9.579999923706056, 'ema_50': 11.054057377685496, 'rsi_14': 38.76404358934041, 'target': 9.43000030517578, 'volume': 72500.0, 'ema_200': 12.934007399412398, 'adj_close': 9.579999923706056, 'rsi_lag_1': 51.11112120290102, 'rsi_lag_2': 35.459183114908754, 'rsi_lag_3': 41.705068162426066, 'rsi_lag_4': 43.27355194988894, 'rsi_lag_5': 38.852100987526036, 'macd_lag_1': -0.3981184890603071, 'macd_lag_2': -0.4348321849927803, 'macd_lag_3': -0.4529673524674003, 'macd_lag_4': -0.4593439477131085, 'macd_lag_5': -0.4546923989640348, 'macd_12_26_9': -0.41587139297872255, 'macds_12_26_9': -0.40667938851192026}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 9.43000030517578, '2022-07-13': 9.4399995803833, '2022-07-14': 9.359999656677246, '2022-07-15': 9.710000038146973, '2022-07-18': 9.760000228881836, '2022-07-19': 10.09000015258789, '2022-07-20': 10.109999656677246, '2022-07-21': 10.109999656677246, '2022-07-22': 9.90999984741211, '2022-07-25': 9.729999542236328}, '1_month_later': {'2022-08-11': 9.600000381469728}, '3_months_later': {'2022-10-11': 7.21999979019165}, '6_months_later': {'2023-01-11': 6.46999979019165}, '12_months_later': {'2023-07-11': 6.449999809265137}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

DLS

{'date': '2022-07-11', 'ticker': 'DLS', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 57.27000045776367, 'high': 57.650001525878906, 'open': 57.59000015258789, 'close': 57.31999969482422, 'ema_50': 61.709882541309476, 'rsi_14': 32.06830556396028, 'target': 57.400001525878906, 'volume': 106200.0, 'ema_200': 67.29803037817307, 'adj_close': 54.12070083618164, 'rsi_lag_1': 37.63918554050633, 'rsi_lag_2': 26.83822523969839, 'rsi_lag_3': 31.260813248527157, 'rsi_lag_4': 28.867643399448667, 'rsi_lag_5': 25.5649845364713, 'macd_lag_1': -1.4197709700758665, 'macd_lag_2': -1.492133965817196, 'macd_lag_3': -1.5393735602147345, 'macd_lag_4': -1.4998959252683548, 'macd_lag_5': -1.4399095126338821, 'macd_12_26_9': -1.4194891695584033, 'macds_12_26_9': -1.4212241225716464}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 57.400001525878906, '2022-07-13': 57.2599983215332, '2022-07-14': 56.68999862670898, '2022-07-15': 57.380001068115234, '2022-07-18': 57.790000915527344, '2022-07-19': 59.0099983215332, '2022-07-20': 58.86000061035156, '2022-07-21': 59.720001220703125, '2022-07-22': 59.619998931884766, '2022-07-25': 60.20000076293945}, '1_month_later': {'2022-08-11': 62.02999877929688}, '3_months_later': {'2022-10-11': 51.0}, '6_months_later': {'2023-01-11': 60.25}, '12_months_later': {'2023-07-11': 60.13999938964844}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

DLNG

{'date': '2022-07-11', 'ticker': 'DLNG', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 2.871999979019165, 'high': 3.200000047683716, 'open': 3.0999999046325684, 'close': 3.190000057220459, 'ema_50': 3.504175413821406, 'rsi_14': 34.710749012631865, 'target': 3.140000104904175, 'volume': 98100.0, 'ema_200': 3.291922867738743, 'adj_close': 3.190000057220459, 'rsi_lag_1': 39.344262935819884, 'rsi_lag_2': 28.91566230451653, 'rsi_lag_3': 29.761903579272982, 'rsi_lag_4': 43.61702060202978, 'rsi_lag_5': 36.322870961972015, 'macd_lag_1': -0.15050330595419448, 'macd_lag_2': -0.15469557195337247, 'macd_lag_3': -0.1577963104184561, 'macd_lag_4': -0.14418602419766513, 'macd_lag_5': -0.13693529296525142, 'macd_12_26_9': -0.1494922298609329, 'macds_12_26_9': -0.12975889580590513}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 3.140000104904175, '2022-07-13': 3.150000095367432, '2022-07-14': 3.0299999713897705, '2022-07-15': 3.0899999141693115, '2022-07-18': 3.220000028610229, '2022-07-19': 3.400000095367432, '2022-07-20': 3.4100000858306885, '2022-07-21': 3.25, '2022-07-22': 3.190000057220459, '2022-07-25': 3.319999933242798}, '1_month_later': {'2022-08-11': 3.359999895095825}, '3_months_later': {'2022-10-11': 2.8399999141693115}, '6_months_later': {'2023-01-11': 2.970000028610229}, '12_months_later': {'2023-07-11': 2.5899999141693115}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

DLY

{'date': '2022-07-11', 'ticker': 'DLY', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 14.199999809265137, 'high': 14.470000267028809, 'open': 14.350000381469728, 'close': 14.43000030517578, 'ema_50': 14.965243400603214, 'rsi_14': 72.97299038850657, 'target': 14.4399995803833, 'volume': 136800.0, 'ema_200': 16.864713620203222, 'adj_close': 12.503525733947754, 'rsi_lag_1': 73.33335876464866, 'rsi_lag_2': 44.44448067138665, 'rsi_lag_3': 41.93546402345404, 'rsi_lag_4': 38.805972273721274, 'rsi_lag_5': 28.160949464599767, 'macd_lag_1': -0.19815023047033087, 'macd_lag_2': -0.2108432943191758, 'macd_lag_3': -0.2209229296299906, 'macd_lag_4': -0.23973833997601446, 'macd_lag_5': -0.26230295266304715, 'macd_12_26_9': -0.17876790069034776, 'macds_12_26_9': -0.23308912997476505}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 14.4399995803833, '2022-07-13': 14.210000038146973, '2022-07-14': 14.06999969482422, '2022-07-15': 14.079999923706056, '2022-07-18': 14.109999656677246, '2022-07-19': 14.270000457763672, '2022-07-20': 14.40999984741211, '2022-07-21': 14.380000114440918, '2022-07-22': 14.470000267028809, '2022-07-25': 14.5600004196167}, '1_month_later': {'2022-08-11': 15.260000228881836}, '3_months_later': {'2022-10-11': 13.75}, '6_months_later': {'2023-01-11': 14.270000457763672}, '12_months_later': {'2023-07-11': 14.649999618530272}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

DLA

{'date': '2022-07-11', 'ticker': 'DLA', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 27.299999237060547, 'high': 27.549999237060547, 'open': 27.549999237060547, 'close': 27.530000686645508, 'ema_50': 28.629332820684617, 'rsi_14': 41.69812889274197, 'target': 25.65999984741211, 'volume': 2400.0, 'ema_200': 28.859153087313146, 'adj_close': 27.530000686645508, 'rsi_lag_1': 54.079998095704866, 'rsi_lag_2': 47.10610676114679, 'rsi_lag_3': 53.02806195470149, 'rsi_lag_4': 50.29326169313182, 'rsi_lag_5': 54.27215676948436, 'macd_lag_1': -0.34461598256941883, 'macd_lag_2': -0.35331627523146736, 'macd_lag_3': -0.31346360709017773, 'macd_lag_4': -0.2692377021588719, 'macd_lag_5': -0.19258228700591218, 'macd_12_26_9': -0.3514220690696668, 'macds_12_26_9': -0.31173372858647475}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 25.65999984741211, '2022-07-13': 24.0, '2022-07-14': 22.6299991607666, '2022-07-15': 23.729999542236328, '2022-07-18': 23.739999771118164, '2022-07-19': 24.190000534057617, '2022-07-20': 23.96999931335449, '2022-07-21': 23.93000030517578, '2022-07-22': 23.239999771118164, '2022-07-25': 23.170000076293945}, '1_month_later': {'2022-08-11': 21.290000915527344}, '3_months_later': {'2022-10-11': 14.3100004196167}, '6_months_later': {'2023-01-11': 12.68000030517578}, '12_months_later': {'2023-07-11': 9.800000190734863}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

DKS

{'date': '2022-07-11', 'ticker': 'DKS', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.nasdaq.com/articles/dicks-sporting-goods-dks-stock-moves-0.21%3A-what-you-should-know', 'news_author': None, 'news_article': 'In the latest trading session, Dick\'s Sporting Goods (DKS) closed at $83.77, marking a -0.21% move from the previous day. This change was narrower than the S&P 500\'s daily loss of 1.15%. Elsewhere, the Dow lost 0.52%, while the tech-heavy Nasdaq lost 0.34%.\nHeading into today, shares of the sporting goods retailer had gained 8.32% over the past month, outpacing the Retail-Wholesale sector\'s loss of 3.17% and the S&P 500\'s loss of 5.08% in that time.\nInvestors will be hoping for strength from Dick\'s Sporting Goods as it approaches its next earnings release. In that report, analysts expect Dick\'s Sporting Goods to post earnings of $3.52 per share. This would mark a year-over-year decline of 30.71%. Meanwhile, our latest consensus estimate is calling for revenue of $3.08 billion, down 6.04% from the prior-year quarter.\nDKS\'s full-year Zacks Consensus Estimates are calling for earnings of $10.81 per share and revenue of $11.84 billion. These results would represent year-over-year changes of -31.15% and -3.71%, respectively.\nAny recent changes to analyst estimates for Dick\'s Sporting Goods should also be noted by investors. These revisions help to show the ever-changing nature of near-term business trends. With this in mind, we can consider positive estimate revisions a sign of optimism about the company\'s business outlook.\nBased on our research, we believe these estimate revisions are directly related to near-team stock moves. We developed the Zacks Rank to capitalize on this phenomenon. Our system takes these estimate changes into account and delivers a clear, actionable rating model.\nThe Zacks Rank system, which ranges from #1 (Strong Buy) to #5 (Strong Sell), has an impressive outside-audited track record of outperformance, with #1 stocks generating an average annual return of +25% since 1988. Within the past 30 days, our consensus EPS projection has moved 1.14% lower. Dick\'s Sporting Goods is currently a Zacks Rank #3 (Hold).\nLooking at its valuation, Dick\'s Sporting Goods is holding a Forward P/E ratio of 7.77. For comparison, its industry has an average Forward P/E of 13.07, which means Dick\'s Sporting Goods is trading at a discount to the group.\nInvestors should also note that DKS has a PEG ratio of 1.55 right now. This metric is used similarly to the famous P/E ratio, but the PEG ratio also takes into account the stock\'s expected earnings growth rate. Retail - Miscellaneous stocks are, on average, holding a PEG ratio of 1.37 based on yesterday\'s closing prices.\nThe Retail - Miscellaneous industry is part of the Retail-Wholesale sector. This group has a Zacks Industry Rank of 213, putting it in the bottom 16% of all 250+ industries.\nThe Zacks Industry Rank includes is listed in order from best to worst in terms of the average Zacks Rank of the individual companies within each of these sectors. Our research shows that the top 50% rated industries outperform the bottom half by a factor of 2 to 1.\nYou can find more information on all of these metrics, and much more, on Zacks.com.\n\nZacks Names "Single Best Pick to Double"\nFrom thousands of stocks, 5 Zacks experts each have chosen their favorite to skyrocket +100% or more in months to come. From those 5, Director of Research Sheraz Mian hand-picks one to have the most explosive upside of all.\nIt’s a little-known chemical company that’s up 65% over last year, yet still dirt cheap. With unrelenting demand, soaring 2022 earnings estimates, and $1.5 billion for repurchasing shares, retail investors could jump in at any time.\nThis company could rival or surpass other recent Zacks’ Stocks Set to Double like Boston Beer Company which shot up +143.0% in little more than 9 months and NVIDIA which boomed +175.9% in one year.\nFree: See Our Top Stock and 4 Runners Up >>\n\nWant the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report\n \nDICK\'S Sporting Goods, Inc. (DKS): Free Stock Analysis Report\n \nTo read this article on Zacks.com click here.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_publisher': None, 'news_lsa_summary': "In the latest trading session, Dick's Sporting Goods (DKS) closed at $83.77, marking a -0.21% move from the previous day. DKS's full-year Zacks Consensus Estimates are calling for earnings of $10.81 per share and revenue of $11.84 billion. Investors should also note that DKS has a PEG ratio of 1.55 right now.", 'news_luhn_summary': "In the latest trading session, Dick's Sporting Goods (DKS) closed at $83.77, marking a -0.21% move from the previous day. DICK'S Sporting Goods, Inc. (DKS): Free Stock Analysis Report DKS's full-year Zacks Consensus Estimates are calling for earnings of $10.81 per share and revenue of $11.84 billion.", 'news_article_title': "Dick's Sporting Goods (DKS) Stock Moves -0.21%: What You Should Know", 'news_lexrank_summary': "In the latest trading session, Dick's Sporting Goods (DKS) closed at $83.77, marking a -0.21% move from the previous day. DKS's full-year Zacks Consensus Estimates are calling for earnings of $10.81 per share and revenue of $11.84 billion. Investors should also note that DKS has a PEG ratio of 1.55 right now.", 'news_textrank_summary': "DICK'S Sporting Goods, Inc. (DKS): Free Stock Analysis Report In the latest trading session, Dick's Sporting Goods (DKS) closed at $83.77, marking a -0.21% move from the previous day. DKS's full-year Zacks Consensus Estimates are calling for earnings of $10.81 per share and revenue of $11.84 billion."}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 83.61000061035156, 'high': 86.76000213623047, 'open': 85.54000091552734, 'close': 83.7699966430664, 'ema_50': 84.03838391102781, 'rsi_14': 65.31114462779905, 'target': 84.69999694824219, 'volume': 2068100.0, 'ema_200': 97.27891226868347, 'adj_close': 80.56968688964844, 'rsi_lag_1': 67.8374374090618, 'rsi_lag_2': 62.00591765381417, 'rsi_lag_3': 57.40126233509221, 'rsi_lag_4': 61.77961622051521, 'rsi_lag_5': 48.96331439571391, 'macd_lag_1': -0.3534535228575919, 'macd_lag_2': -0.8137400177390219, 'macd_lag_3': -1.35783335589106, 'macd_lag_4': -1.5550164828307942, 'macd_lag_5': -1.9938214169697517, 'macd_12_26_9': -0.0031612389860526946, 'macds_12_26_9': -1.282811005542726}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 84.69999694824219, '2022-07-13': 87.27999877929688, '2022-07-14': 86.75, '2022-07-15': 88.25, '2022-07-18': 89.16999816894531, '2022-07-19': 91.88999938964844, '2022-07-20': 94.9800033569336, '2022-07-21': 95.1500015258789, '2022-07-22': 95.01000213623048, '2022-07-25': 93.47000122070312}, '1_month_later': {'2022-08-11': 105.11000061035156}, '3_months_later': {'2022-10-11': 110.33999633789062}, '6_months_later': {'2023-01-11': 127.43000030517578}, '12_months_later': {'2023-07-11': 137.67999267578125}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

DKNG

{'date': '2022-07-11', 'ticker': 'DKNG', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.nasdaq.com/articles/why-roku-draftkings-and-beyond-meat-fell-hard-today', 'news_author': None, 'news_article': "What happened\nWhile the Nasdaq was down mildly today, former pandemic-era highfliers Roku (NASDAQ: ROKU), DraftKings (NASDAQ: DKNG), and Beyond Meat (NASDAQ: BYND) were all down significantly, falling 7.6%, 8.4%, and 7.6%, respectively, as of 1:45 p.m. ET.\nThere wasn't much in the way of company-specific news today, but investors appear to be turning cautious once again on high-growth, profitless stocks that benefited in the early days of the pandemic. A key inflation report is also due out on Wednesday, and second-quarter earnings season will soon commence. Most indicators point to an adverse environment for consumer-oriented stocks like these. Meanwhile, the Fed will likely continue to raise rates this month, which could be a headwind for growth stock valuations.\nSo what\nWhile these stocks had already been hammered to start 2022, each actually has had a nice rally since mid-June. That's when the Federal Reserve decided to hike the federal funds rate by 75 basis points in order to stamp out inflation. However, that prompted a drop in long-term interest rates such as the 10-year Treasury yield, as well as commodity prices toward the end of the month.\nLower long-term yields and falling commodity inflation gave a reprieve to these stocks from mid-June until today, with Roku up 20%, DraftKings up 20%, and Beyond Meat up a whopping 44% off their recent lows in a short amount of time -- and these numbers even incorporate today's drop. However, given that investors are now about to hear second-quarter earnings results and commentary on the second-half outlook, it appears traders are taking near-term profits.\nInvestors have good reasons to be nervous. Back in May, social media stock Snap (NYSE: SNAP) pre-announced an abrupt drop-off in online ad revenue. A slowdown in digital advertising would certainly hurt Roku, which gets the majority of its revenue and profit from digital ad sales over its platform.\nMeanwhile, various June surveys of consumer sentiment, including from the University of Michigan and The Conference Board, appeared to show deteriorating consumer confidence despite low unemployment. With a greater portion of consumer paychecks going toward food and fuel, that leaves less money leftover to spend on discretionary items, such as online gambling. Despite outperforming in the first quarter and raising guidance, DraftKings still projects an adjusted EBITDA (earnings before interest, taxes, depreciation, and amortization) loss between $760 million and $840 million this year. It's unclear how investors will take that as short-term interest rates go over 2%.\nFinally, Beyond Meat's recent results have been nothing short of disastrous. While the company exhibited rapid growth in the early days of the pandemic, fueling hopes its plant-based meat would disrupt the traditional global meat market, growth has ground to a halt in recent quarters. In response, management has cut prices, even though the company is still spending heavily on growth projects and burning cash. Beyond Meat may run into a financing problem if its profitability doesn't turn around, as it burned about $187 million in cash last quarter alone, with only about $550 million remaining on the balance sheet as of March 31. As interest rates go up and with the stock down 77% over the past 12 months, Beyond Meat is not in a great position to raise more money right now. No wonder some investors are taking their chips off the table before it reports Q2 numbers.\nNow what\nConnected TV, recently legal online gambling, and plant-based meat are all exciting growth industries that were actually helped by pandemic-era trends. However, investors need to remember that exciting growth industries attract a lot of competition, and hubris can lead to overinvestment. When the economy slows down or trends reverse, even for a short period, a slowdown in growth can be devastating for stocks like these that have been largely valued on their revenue growth. And it can be especially bad for growth companies that lose money, with the potential need to raise more cash in the near future.\nAlthough these stocks seemed like they were bottoming over the past month after devastating declines, I'd still remain cautious on them, especially the loss-making DraftKings and Beyond Meat.\nFind out why Roku is one of the 10 best stocks to buy now\nOur award-winning analyst team has spent more than a decade beating the market. After all, the newsletter they have run for over a decade, Motley Fool Stock Advisor, has tripled the market.*\nThey just revealed their ten top stock picks for investors to buy right now. Roku is on the list -- but there are nine others you may be overlooking.\nClick here to get access to the full list!\n*Stock Advisor returns as of June 2, 2022\nBilly Duberstein has no position in any of the stocks mentioned. His clients may own shares of the companies mentioned. The Motley Fool has positions in and recommends Beyond Meat, Inc. and Roku. The Motley Fool has a disclosure policy.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.", 'news_publisher': None, 'news_lsa_summary': "What happened While the Nasdaq was down mildly today, former pandemic-era highfliers Roku (NASDAQ: ROKU), DraftKings (NASDAQ: DKNG), and Beyond Meat (NASDAQ: BYND) were all down significantly, falling 7.6%, 8.4%, and 7.6%, respectively, as of 1:45 p.m. There wasn't much in the way of company-specific news today, but investors appear to be turning cautious once again on high-growth, profitless stocks that benefited in the early days of the pandemic. With a greater portion of consumer paychecks going toward food and fuel, that leaves less money leftover to spend on discretionary items, such as online gambling.", 'news_luhn_summary': "What happened While the Nasdaq was down mildly today, former pandemic-era highfliers Roku (NASDAQ: ROKU), DraftKings (NASDAQ: DKNG), and Beyond Meat (NASDAQ: BYND) were all down significantly, falling 7.6%, 8.4%, and 7.6%, respectively, as of 1:45 p.m. Lower long-term yields and falling commodity inflation gave a reprieve to these stocks from mid-June until today, with Roku up 20%, DraftKings up 20%, and Beyond Meat up a whopping 44% off their recent lows in a short amount of time -- and these numbers even incorporate today's drop. Now what Connected TV, recently legal online gambling, and plant-based meat are all exciting growth industries that were actually helped by pandemic-era trends.", 'news_article_title': 'Why Roku, DraftKings, and Beyond Meat Fell Hard Today', 'news_lexrank_summary': 'What happened While the Nasdaq was down mildly today, former pandemic-era highfliers Roku (NASDAQ: ROKU), DraftKings (NASDAQ: DKNG), and Beyond Meat (NASDAQ: BYND) were all down significantly, falling 7.6%, 8.4%, and 7.6%, respectively, as of 1:45 p.m. As interest rates go up and with the stock down 77% over the past 12 months, Beyond Meat is not in a great position to raise more money right now. Now what Connected TV, recently legal online gambling, and plant-based meat are all exciting growth industries that were actually helped by pandemic-era trends.', 'news_textrank_summary': "What happened While the Nasdaq was down mildly today, former pandemic-era highfliers Roku (NASDAQ: ROKU), DraftKings (NASDAQ: DKNG), and Beyond Meat (NASDAQ: BYND) were all down significantly, falling 7.6%, 8.4%, and 7.6%, respectively, as of 1:45 p.m. Lower long-term yields and falling commodity inflation gave a reprieve to these stocks from mid-June until today, with Roku up 20%, DraftKings up 20%, and Beyond Meat up a whopping 44% off their recent lows in a short amount of time -- and these numbers even incorporate today's drop. While the company exhibited rapid growth in the early days of the pandemic, fueling hopes its plant-based meat would disrupt the traditional global meat market, growth has ground to a halt in recent quarters."}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 11.369999885559082, 'high': 12.640000343322754, 'open': 12.529999732971191, 'close': 11.43000030517578, 'ema_50': 13.5836070362088, 'rsi_14': 50.052577437650655, 'target': 11.850000381469728, 'volume': 17568800.0, 'ema_200': 23.927447062099226, 'adj_close': 11.43000030517578, 'rsi_lag_1': 61.348311091113715, 'rsi_lag_2': 54.32836271283072, 'rsi_lag_3': 53.82293930524145, 'rsi_lag_4': 59.778230303160825, 'rsi_lag_5': 43.836885792584745, 'macd_lag_1': -0.18895562204646055, 'macd_lag_2': -0.21516797684228628, 'macd_lag_3': -0.2821493648997748, 'macd_lag_4': -0.28921065894734355, 'macd_lag_5': -0.35510768533301373, 'macd_12_26_9': -0.27076691831241106, 'macds_12_26_9': -0.2826531355521075}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 11.850000381469728, '2022-07-13': 11.720000267028809, '2022-07-14': 11.220000267028809, '2022-07-15': 12.859999656677246, '2022-07-18': 13.0, '2022-07-19': 13.489999771118164, '2022-07-20': 14.279999732971191, '2022-07-21': 14.270000457763672, '2022-07-22': 13.529999732971191, '2022-07-25': 13.390000343322754}, '1_month_later': {'2022-08-11': 18.540000915527344}, '3_months_later': {'2022-10-11': 13.68000030517578}, '6_months_later': {'2023-01-11': 13.06999969482422}, '12_months_later': {'2023-07-11': 28.959999084472656}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

DKL

{'date': '2022-07-11', 'ticker': 'DKL', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 48.09000015258789, 'high': 49.88999938964844, 'open': 48.95000076293945, 'close': 49.209999084472656, 'ema_50': 49.64412300437948, 'rsi_14': 66.62783836168398, 'target': 47.43999862670898, 'volume': 22700.0, 'ema_200': 46.34179340621267, 'adj_close': 43.39246368408203, 'rsi_lag_1': 60.45769056330427, 'rsi_lag_2': 50.58713008278376, 'rsi_lag_3': 43.63468150973329, 'rsi_lag_4': 45.41525805518217, 'rsi_lag_5': 42.47866587346545, 'macd_lag_1': -0.6989472252463855, 'macd_lag_2': -0.7778907245829174, 'macd_lag_3': -0.8072638194786634, 'macd_lag_4': -0.699630592490827, 'macd_lag_5': -0.6986930525095758, 'macd_12_26_9': -0.6227500865667821, 'macds_12_26_9': -0.7513066342342204}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 47.43999862670898, '2022-07-13': 47.43000030517578, '2022-07-14': 48.4900016784668, '2022-07-15': 49.38999938964844, '2022-07-18': 49.25, '2022-07-19': 49.560001373291016, '2022-07-20': 50.02000045776367, '2022-07-21': 49.709999084472656, '2022-07-22': 47.20000076293945, '2022-07-25': 48.54999923706055}, '1_month_later': {'2022-08-11': 55.060001373291016}, '3_months_later': {'2022-10-11': 51.77000045776367}, '6_months_later': {'2023-01-11': 48.34999847412109}, '12_months_later': {'2023-07-11': 52.0}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

DJP

{'date': '2022-07-11', 'ticker': 'DJP', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 34.2400016784668, 'high': 34.599998474121094, 'open': 34.59000015258789, 'close': 34.4900016784668, 'ema_50': 37.194291313813025, 'rsi_14': 30.733974452917195, 'target': 32.880001068115234, 'volume': 149700.0, 'ema_200': 34.190694032451816, 'adj_close': 34.4900016784668, 'rsi_lag_1': 25.234629640384384, 'rsi_lag_2': 21.95909447591876, 'rsi_lag_3': 14.605466828120825, 'rsi_lag_4': 13.038950786845618, 'rsi_lag_5': 14.368524859148096, 'macd_lag_1': -1.4978498792806718, 'macd_lag_2': -1.5320722405359675, 'macd_lag_3': -1.514776713013191, 'macd_lag_4': -1.3352502349384423, 'macd_lag_5': -1.1192691320696824, 'macd_12_26_9': -1.4332270625377106, 'macds_12_26_9': -1.214916541619586}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 32.880001068115234, '2022-07-13': 33.31999969482422, '2022-07-14': 32.970001220703125, '2022-07-15': 33.4900016784668, '2022-07-18': 34.45000076293945, '2022-07-19': 34.36000061035156, '2022-07-20': 34.66999816894531, '2022-07-21': 34.380001068115234, '2022-07-22': 34.31999969482422, '2022-07-25': 35.029998779296875}, '1_month_later': {'2022-08-11': 36.720001220703125}, '3_months_later': {'2022-10-11': 34.09000015258789}, '6_months_later': {'2023-01-11': 32.65999984741211}, '12_months_later': {'2023-07-11': 31.209999084472656}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

DLB

{'date': '2022-07-11', 'ticker': 'DLB', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 72.77999877929688, 'high': 73.5, 'open': 73.08000183105469, 'close': 72.95999908447266, 'ema_50': 74.40606420040221, 'rsi_14': 57.34526727337689, 'target': 72.23999786376953, 'volume': 266200.0, 'ema_200': 80.58080429557207, 'adj_close': 71.48576354980469, 'rsi_lag_1': 62.733814845043725, 'rsi_lag_2': 52.830193206000835, 'rsi_lag_3': 53.502803908065125, 'rsi_lag_4': 51.18603240158226, 'rsi_lag_5': 40.103563075496744, 'macd_lag_1': -0.6388076330108987, 'macd_lag_2': -0.7557525578443745, 'macd_lag_3': -0.8614422557719905, 'macd_lag_4': -0.912538257221911, 'macd_lag_5': -0.9207002024404858, 'macd_12_26_9': -0.5829812534482528, 'macds_12_26_9': -0.7429087810091461}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 72.23999786376953, '2022-07-13': 72.16000366210938, '2022-07-14': 71.94000244140625, '2022-07-15': 73.08999633789062, '2022-07-18': 72.48999786376953, '2022-07-19': 73.55999755859375, '2022-07-20': 76.94000244140625, '2022-07-21': 77.44999694824219, '2022-07-22': 76.83000183105469, '2022-07-25': 76.11000061035156}, '1_month_later': {'2022-08-11': 79.3499984741211}, '3_months_later': {'2022-10-11': 63.43999862670898}, '6_months_later': {'2023-01-11': 76.04000091552734}, '12_months_later': {'2023-07-11': 88.77999877929688}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

EIM

{'date': '2022-07-11', 'ticker': 'EIM', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 10.890000343322754, 'high': 11.0600004196167, 'open': 10.890000343322754, 'close': 10.93000030517578, 'ema_50': 10.826941760367365, 'rsi_14': 89.15661958431349, 'target': 11.039999961853027, 'volume': 108200.0, 'ema_200': 11.846347062225771, 'adj_close': 10.256919860839844, 'rsi_lag_1': 88.31167544376811, 'rsi_lag_2': 74.72524247934169, 'rsi_lag_3': 77.4192787565745, 'rsi_lag_4': 61.11108167676847, 'rsi_lag_5': 51.282038741966126, 'macd_lag_1': 0.018015021405068055, 'macd_lag_2': 0.004818270431728777, 'macd_lag_3': -0.013113871684854672, 'macd_lag_4': -0.03784737172370356, 'macd_lag_5': -0.0627567680159018, 'macd_12_26_9': 0.03293541508402953, 'macds_12_26_9': -0.02809473507037581}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 11.039999961853027, '2022-07-13': 10.979999542236328, '2022-07-14': 10.880000114440918, '2022-07-15': 10.920000076293944, '2022-07-18': 10.829999923706056, '2022-07-19': 10.880000114440918, '2022-07-20': 10.869999885559082, '2022-07-21': 10.760000228881836, '2022-07-22': 10.81999969482422, '2022-07-25': 10.779999732971191}, '1_month_later': {'2022-08-11': 11.079999923706056}, '3_months_later': {'2022-10-11': 9.75}, '6_months_later': {'2023-01-11': 10.40999984741211}, '12_months_later': {'2023-07-11': 9.989999771118164}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

DRRX

{'date': '2022-07-11', 'ticker': 'DRRX', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 4.599999904632568, 'high': 4.900000095367432, 'open': 4.900000095367432, 'close': 4.599999904632568, 'ema_50': 4.9923326336939615, 'rsi_14': 44.99999940395363, 'target': 4.599999904632568, 'volume': 19180.0, 'ema_200': 7.62000332380891, 'adj_close': 4.599999904632568, 'rsi_lag_1': 47.368423694388554, 'rsi_lag_2': 39.9999976158142, 'rsi_lag_3': 35.00000238418579, 'rsi_lag_4': 32.55814030855133, 'rsi_lag_5': 34.090908352008555, 'macd_lag_1': -0.06588534467192098, 'macd_lag_2': -0.07445885289552034, 'macd_lag_3': -0.06395506367383597, 'macd_lag_4': -0.029254536652270957, 'macd_lag_5': 0.005279666262152816, 'macd_12_26_9': -0.08234901760753033, 'macds_12_26_9': -0.0056929064788953645}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 4.599999904632568, '2022-07-13': 4.300000190734863, '2022-07-14': 4.699999809265137, '2022-07-15': 4.5, '2022-07-18': 4.599999904632568, '2022-07-19': 4.599999904632568, '2022-07-20': 4.5, '2022-07-21': 4.599999904632568, '2022-07-22': 4.400000095367432, '2022-07-25': 4.400000095367432}, '1_month_later': {'2022-08-11': 7.0}, '3_months_later': {'2022-10-11': 5.199999809265137}, '6_months_later': {'2023-01-11': 6.960000038146973}, '12_months_later': {'2023-07-11': 4.96999979019165}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

EIS

{'date': '2022-07-11', 'ticker': 'EIS', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 59.91999816894531, 'high': 60.5099983215332, 'open': 60.5099983215332, 'close': 59.91999816894531, 'ema_50': 63.03853763236702, 'rsi_14': 61.49423674591871, 'target': 59.869998931884766, 'volume': 3600.0, 'ema_200': 68.49892447774941, 'adj_close': 58.71332550048828, 'rsi_lag_1': 67.09450292356013, 'rsi_lag_2': 53.7885916709756, 'rsi_lag_3': 53.78857518056468, 'rsi_lag_4': 57.82250245529685, 'rsi_lag_5': 43.085483154359785, 'macd_lag_1': -1.0012149732089242, 'macd_lag_2': -1.1239866102644243, 'macd_lag_3': -1.2663753774746382, 'macd_lag_4': -1.2718767241352396, 'macd_lag_5': -1.293998604320194, 'macd_12_26_9': -0.9358959206412223, 'macds_12_26_9': -1.2040561030902037}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 59.869998931884766, '2022-07-13': 60.060001373291016, '2022-07-14': 59.25, '2022-07-15': 60.04999923706055, '2022-07-18': 60.459999084472656, '2022-07-19': 61.619998931884766, '2022-07-20': 62.720001220703125, '2022-07-21': 63.540000915527344, '2022-07-22': 62.77000045776367, '2022-07-25': 62.220001220703125}, '1_month_later': {'2022-08-11': 69.0999984741211}, '3_months_later': {'2022-10-11': 56.810001373291016}, '6_months_later': {'2023-01-11': 58.5}, '12_months_later': {'2023-07-11': 54.25}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

EXAS

{'date': '2022-07-11', 'ticker': 'EXAS', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 44.79999923706055, 'high': 46.75, 'open': 46.16999816894531, 'close': 45.380001068115234, 'ema_50': 48.258431499297906, 'rsi_14': 67.06122042248148, 'target': 46.66999816894531, 'volume': 1929500.0, 'ema_200': 69.3212579740806, 'adj_close': 45.380001068115234, 'rsi_lag_1': 72.19748733323247, 'rsi_lag_2': 63.093472948974345, 'rsi_lag_3': 61.8042241946377, 'rsi_lag_4': 64.19458179178811, 'rsi_lag_5': 49.80590359893556, 'macd_lag_1': -0.9812713205878438, 'macd_lag_2': -1.4026616514125436, 'macd_lag_3': -1.8355973177554006, 'macd_lag_4': -2.1110084277557135, 'macd_lag_5': -2.5448458204427453, 'macd_12_26_9': -0.7356661784316145, 'macds_12_26_9': -1.8778677277166442}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 46.66999816894531, '2022-07-13': 46.790000915527344, '2022-07-14': 46.02000045776367, '2022-07-15': 46.900001525878906, '2022-07-18': 45.310001373291016, '2022-07-19': 46.81999969482422, '2022-07-20': 48.0, '2022-07-21': 47.810001373291016, '2022-07-22': 45.38999938964844, '2022-07-25': 45.630001068115234}, '1_month_later': {'2022-08-11': 42.36000061035156}, '3_months_later': {'2022-10-11': 32.15999984741211}, '6_months_later': {'2023-01-11': 67.19999694824219}, '12_months_later': {'2023-07-11': 95.29000091552734}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

EXC

{'date': '2022-07-11', 'ticker': 'EXC', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 43.7400016784668, 'high': 44.540000915527344, 'open': 44.2400016784668, 'close': 44.43000030517578, 'ema_50': 45.3331412367331, 'rsi_14': 70.37038345232929, 'target': 44.22999954223633, 'volume': 3848100.0, 'ema_200': 42.52233909491675, 'adj_close': 42.19962692260742, 'rsi_lag_1': 67.42338561620585, 'rsi_lag_2': 60.923086674259544, 'rsi_lag_3': 60.082716222762585, 'rsi_lag_4': 49.7115317956921, 'rsi_lag_5': 50.29183561615368, 'macd_lag_1': -0.5221691855659998, 'macd_lag_2': -0.5706622854792371, 'macd_lag_3': -0.6344382353083802, 'macd_lag_4': -0.6933748736413605, 'macd_lag_5': -0.6933504287328347, 'macd_12_26_9': -0.46705732764988284, 'macds_12_26_9': -0.7310754128677522}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 44.22999954223633, '2022-07-13': 43.59999847412109, '2022-07-14': 44.150001525878906, '2022-07-15': 44.22999954223633, '2022-07-18': 43.7599983215332, '2022-07-19': 43.70000076293945, '2022-07-20': 43.09999847412109, '2022-07-21': 43.2599983215332, '2022-07-22': 44.02000045776367, '2022-07-25': 44.41999816894531}, '1_month_later': {'2022-08-11': 45.70000076293945}, '3_months_later': {'2022-10-11': 37.470001220703125}, '6_months_later': {'2023-01-11': 44.13999938964844}, '12_months_later': {'2023-07-11': 41.709999084472656}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

EXEL

{'date': '2022-07-11', 'ticker': 'EXEL', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 20.440000534057617, 'high': 21.8700008392334, 'open': 21.8700008392334, 'close': 20.6299991607666, 'ema_50': 20.313004396365248, 'rsi_14': 61.286805388000964, 'target': 21.06999969482422, 'volume': 2707700.0, 'ema_200': 20.170579881915465, 'adj_close': 20.6299991607666, 'rsi_lag_1': 75.28475009053395, 'rsi_lag_2': 71.29943510130613, 'rsi_lag_3': 71.58837362021228, 'rsi_lag_4': 78.15534845802203, 'rsi_lag_5': 71.30435174071049, 'macd_lag_1': 0.693425698787685, 'macd_lag_2': 0.6646243782606938, 'macd_lag_3': 0.6487417274441114, 'macd_lag_4': 0.6373605557814344, 'macd_lag_5': 0.5382179118976751, 'macd_12_26_9': 0.5980029934957933, 'macds_12_26_9': 0.5073812122421334}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 21.06999969482422, '2022-07-13': 21.6299991607666, '2022-07-14': 21.350000381469727, '2022-07-15': 21.34000015258789, '2022-07-18': 21.56999969482422, '2022-07-19': 21.84000015258789, '2022-07-20': 21.959999084472656, '2022-07-21': 21.3799991607666, '2022-07-22': 20.86000061035156, '2022-07-25': 21.01000022888184}, '1_month_later': {'2022-08-11': 19.229999542236328}, '3_months_later': {'2022-10-11': 15.510000228881836}, '6_months_later': {'2023-01-11': 16.790000915527344}, '12_months_later': {'2023-07-11': 19.200000762939453}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

EXG

{'date': '2022-07-11', 'ticker': 'EXG', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 7.960000038146973, 'high': 8.039999961853027, 'open': 7.989999771118164, 'close': 8.0, 'ema_50': 8.291631363678386, 'rsi_14': 63.15788813245685, 'target': 7.989999771118164, 'volume': 479600.0, 'ema_200': 9.166489826062008, 'adj_close': 6.993781089782715, 'rsi_lag_1': 64.70586585339954, 'rsi_lag_2': 54.22536322720576, 'rsi_lag_3': 49.21875087311478, 'rsi_lag_4': 43.16546960027691, 'rsi_lag_5': 36.58536018040713, 'macd_lag_1': -0.12698901556871078, 'macd_lag_2': -0.14594458935941024, 'macd_lag_3': -0.17005237430661246, 'macd_lag_4': -0.18104003805777769, 'macd_lag_5': -0.18937646460772317, 'macd_12_26_9': -0.1106906142732198, 'macds_12_26_9': -0.1588027664110174}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 7.989999771118164, '2022-07-13': 7.980000019073486, '2022-07-14': 7.96999979019165, '2022-07-15': 8.100000381469727, '2022-07-18': 8.039999961853027, '2022-07-19': 8.239999771118164, '2022-07-20': 8.390000343322754, '2022-07-21': 8.329999923706055, '2022-07-22': 8.239999771118164, '2022-07-25': 8.15999984741211}, '1_month_later': {'2022-08-11': 8.960000038146973}, '3_months_later': {'2022-10-11': 7.25}, '6_months_later': {'2023-01-11': 7.900000095367432}, '12_months_later': {'2023-07-11': 7.880000114440918}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

EXI

{'date': '2022-07-11', 'ticker': 'EXI', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 95.66999816894533, 'high': 96.41999816894533, 'open': 96.23999786376952, 'close': 95.9000015258789, 'ema_50': 101.54656120289395, 'rsi_14': 53.882738287038016, 'target': 95.83000183105467, 'volume': 39300.0, 'ema_200': 110.37480020433487, 'adj_close': 93.53215026855467, 'rsi_lag_1': 59.02778237689989, 'rsi_lag_2': 46.27071473884091, 'rsi_lag_3': 45.48002859282966, 'rsi_lag_4': 42.390548255473654, 'rsi_lag_5': 37.40037590292015, 'macd_lag_1': -1.874739079686364, 'macd_lag_2': -2.0553516240149605, 'macd_lag_3': -2.2458012214254524, 'macd_lag_4': -2.3055267116481417, 'macd_lag_5': -2.308514192780578, 'macd_12_26_9': -1.8139771418265553, 'macds_12_26_9': -2.13328629061296}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 95.83000183105467, '2022-07-13': 95.16000366210938, '2022-07-14': 94.2699966430664, '2022-07-15': 95.91000366210938, '2022-07-18': 96.11000061035156, '2022-07-19': 99.16999816894533, '2022-07-20': 99.29000091552734, '2022-07-21': 100.3499984741211, '2022-07-22': 100.18000030517578, '2022-07-25': 100.45999908447266}, '1_month_later': {'2022-08-11': 107.4499969482422}, '3_months_later': {'2022-10-11': 91.81999969482422}, '6_months_later': {'2023-01-11': 111.33000183105467}, '12_months_later': {'2023-07-11': 120.55999755859376}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

EXK

{'date': '2022-07-11', 'ticker': 'EXK', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 3.049999952316284, 'high': 3.190000057220459, 'open': 3.069999933242798, 'close': 3.0799999237060547, 'ema_50': 3.6169331821730526, 'rsi_14': 38.285710237463576, 'target': 3.0899999141693115, 'volume': 1821400.0, 'ema_200': 4.214588032773453, 'adj_close': 3.0799999237060547, 'rsi_lag_1': 38.06818312665191, 'rsi_lag_2': 35.99999400547327, 'rsi_lag_3': 38.12154004768638, 'rsi_lag_4': 36.70212172339172, 'rsi_lag_5': 33.333325654793256, 'macd_lag_1': -0.16725167619294234, 'macd_lag_2': -0.1711057541802825, 'macd_lag_3': -0.16946340054111975, 'macd_lag_4': -0.15166588687517013, 'macd_lag_5': -0.12979828089213274, 'macd_12_26_9': -0.16870787672912302, 'macds_12_26_9': -0.146150188447089}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 3.0899999141693115, '2022-07-13': 3.289999961853028, '2022-07-14': 3.130000114440918, '2022-07-15': 3.1700000762939453, '2022-07-18': 3.240000009536743, '2022-07-19': 3.3399999141693115, '2022-07-20': 3.240000009536743, '2022-07-21': 3.289999961853028, '2022-07-22': 3.1700000762939453, '2022-07-25': 3.109999895095825}, '1_month_later': {'2022-08-11': 3.400000095367432}, '3_months_later': {'2022-10-11': 3.2300000190734863}, '6_months_later': {'2023-01-11': 3.5299999713897705}, '12_months_later': {'2023-07-11': 2.900000095367432}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

EXP

{'date': '2022-07-11', 'ticker': 'EXP', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 110.8499984741211, 'high': 113.13999938964844, 'open': 110.94000244140624, 'close': 112.77999877929688, 'ema_50': 119.64867292950348, 'rsi_14': 57.7884581173658, 'target': 114.66000366210938, 'volume': 143500.0, 'ema_200': 131.61350432937041, 'adj_close': 111.6478271484375, 'rsi_lag_1': 55.67112804349248, 'rsi_lag_2': 37.83237364569255, 'rsi_lag_3': 33.4518199484412, 'rsi_lag_4': 37.68310287692095, 'rsi_lag_5': 31.383428420466373, 'macd_lag_1': -3.4952665267683045, 'macd_lag_2': -3.759783667533924, 'macd_lag_3': -4.1404613260933445, 'macd_lag_4': -4.379792095476802, 'macd_lag_5': -4.595086951768735, 'macd_12_26_9': -3.1859695306488334, 'macds_12_26_9': -3.8713464897268075}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 114.66000366210938, '2022-07-13': 113.16000366210938, '2022-07-14': 112.58000183105467, '2022-07-15': 114.06999969482422, '2022-07-18': 116.41999816894533, '2022-07-19': 120.25, '2022-07-20': 120.13999938964844, '2022-07-21': 122.36000061035156, '2022-07-22': 121.55999755859376, '2022-07-25': 122.41000366210938}, '1_month_later': {'2022-08-11': 132.89999389648438}, '3_months_later': {'2022-10-11': 113.19000244140624}, '6_months_later': {'2023-01-11': 143.38999938964844}, '12_months_later': {'2023-07-11': 183.5399932861328}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

EXPE

{'date': '2022-07-11', 'ticker': 'EXPE', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 90.56999969482422, 'high': 94.06999969482422, 'open': 93.22000122070312, 'close': 91.16000366210938, 'ema_50': 120.4602593152354, 'rsi_14': 37.275484542719894, 'target': 92.02999877929688, 'volume': 2283000.0, 'ema_200': 152.27944963544596, 'adj_close': 91.16000366210938, 'rsi_lag_1': 48.00109552478963, 'rsi_lag_2': 40.9866627375067, 'rsi_lag_3': 40.49976672972342, 'rsi_lag_4': 39.53969734221425, 'rsi_lag_5': 31.814658108374985, 'macd_lag_1': -8.451998210354319, 'macd_lag_2': -8.793528146718117, 'macd_lag_3': -9.287865356621069, 'macd_lag_4': -9.49557830790458, 'macd_lag_5': -9.958577596977534, 'macd_12_26_9': -8.384053050877881, 'macds_12_26_9': -9.331318865100485}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 92.02999877929688, '2022-07-13': 92.9800033569336, '2022-07-14': 89.43000030517578, '2022-07-15': 92.3499984741211, '2022-07-18': 94.29000091552734, '2022-07-19': 100.31999969482422, '2022-07-20': 103.18000030517578, '2022-07-21': 102.37000274658205, '2022-07-22': 99.37999725341795, '2022-07-25': 100.75}, '1_month_later': {'2022-08-11': 110.12999725341795}, '3_months_later': {'2022-10-11': 91.81999969482422}, '6_months_later': {'2023-01-11': 99.23999786376952}, '12_months_later': {'2023-07-11': 116.95999908447266}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

EXPI

{'date': '2022-07-11', 'ticker': 'EXPI', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 13.6899995803833, 'high': 14.399999618530272, 'open': 14.298999786376951, 'close': 13.880000114440918, 'ema_50': 14.341285715387455, 'rsi_14': 68.68852415446209, 'target': 13.770000457763672, 'volume': 682400.0, 'ema_200': 23.82114851945593, 'adj_close': 13.601348876953123, 'rsi_lag_1': 77.18360407655845, 'rsi_lag_2': 68.08176348185913, 'rsi_lag_3': 63.35740528972506, 'rsi_lag_4': 68.82352875178253, 'rsi_lag_5': 38.77551241074171, 'macd_lag_1': 0.028036919691929896, 'macd_lag_2': -0.094457406343464, 'macd_lag_3': -0.2585944357453176, 'macd_lag_4': -0.3737133810690718, 'macd_lag_5': -0.5834293753257764, 'macd_12_26_9': 0.07343232931192745, 'macds_12_26_9': -0.2694342413784451}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 13.770000457763672, '2022-07-13': 13.4399995803833, '2022-07-14': 13.25, '2022-07-15': 13.5, '2022-07-18': 13.510000228881836, '2022-07-19': 14.329999923706056, '2022-07-20': 14.989999771118164, '2022-07-21': 14.970000267028809, '2022-07-22': 14.59000015258789, '2022-07-25': 14.09000015258789}, '1_month_later': {'2022-08-11': 17.790000915527344}, '3_months_later': {'2022-10-11': 12.3100004196167}, '6_months_later': {'2023-01-11': 12.649999618530272}, '12_months_later': {'2023-07-11': 22.100000381469727}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

EXPO

{'date': '2022-07-11', 'ticker': 'EXPO', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 92.2300033569336, 'high': 93.7300033569336, 'open': 93.72000122070312, 'close': 92.7699966430664, 'ema_50': 91.2759705875074, 'rsi_14': 76.31068241631179, 'target': 90.52999877929688, 'volume': 108900.0, 'ema_200': 97.77202611894621, 'adj_close': 91.28038787841795, 'rsi_lag_1': 80.98250025326183, 'rsi_lag_2': 75.33937010864119, 'rsi_lag_3': 72.70907011901016, 'rsi_lag_4': 69.09963336612168, 'rsi_lag_5': 62.536160551376675, 'macd_lag_1': 0.9877907771567607, 'macd_lag_2': 0.7864662351231715, 'macd_lag_3': 0.4416997653258079, 'macd_lag_4': 0.24468189110982053, 'macd_lag_5': 0.14747492396423922, 'macd_12_26_9': 1.0568877907491157, 'macds_12_26_9': 0.2596054878354381}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 90.52999877929688, '2022-07-13': 89.7699966430664, '2022-07-14': 90.11000061035156, '2022-07-15': 92.0999984741211, '2022-07-18': 90.2699966430664, '2022-07-19': 93.52999877929688, '2022-07-20': 95.70999908447266, '2022-07-21': 94.7300033569336, '2022-07-22': 93.80999755859376, '2022-07-25': 94.81999969482422}, '1_month_later': {'2022-08-11': 99.0999984741211}, '3_months_later': {'2022-10-11': 89.27999877929688}, '6_months_later': {'2023-01-11': 99.4000015258789}, '12_months_later': {'2023-07-11': 94.77999877929688}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

EXPR

{'date': '2022-07-11', 'ticker': 'EXPR', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 35.599998474121094, 'high': 37.79999923706055, 'open': 37.400001525878906, 'close': 35.599998474121094, 'ema_50': 51.5253208921867, 'rsi_14': 40.83332724041215, 'target': 35.599998474121094, 'volume': 86930.0, 'ema_200': 67.13012625736452, 'adj_close': 35.599998474121094, 'rsi_lag_1': 42.24137208124187, 'rsi_lag_2': 37.40457792978334, 'rsi_lag_3': 35.9375009313229, 'rsi_lag_4': 39.65517099632195, 'rsi_lag_5': 28.90624708961633, 'macd_lag_1': -4.846059600149744, 'macd_lag_2': -4.9256704329197305, 'macd_lag_3': -5.098182299447714, 'macd_lag_4': -5.081305858277325, 'macd_lag_5': -5.230218882383383, 'macd_12_26_9': -4.888004849687228, 'macds_12_26_9': -5.038532912525902}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 35.599998474121094, '2022-07-13': 35.400001525878906, '2022-07-14': 33.0, '2022-07-15': 35.0, '2022-07-18': 37.0, '2022-07-19': 37.79999923706055, '2022-07-20': 38.400001525878906, '2022-07-21': 38.59999847412109, '2022-07-22': 37.400001525878906, '2022-07-25': 36.59999847412109}, '1_month_later': {'2022-08-11': 42.0}, '3_months_later': {'2022-10-11': 23.200000762939453}, '6_months_later': {'2023-01-11': 21.600000381469727}, '12_months_later': {'2023-07-11': 14.0}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

EXR

{'date': '2022-07-11', 'ticker': 'EXR', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': [{'news_url': 'https://www.nasdaq.com/articles/why-extra-space-storage-stock-tumbled-25-in-the-first-half-of-2022', 'news_author': None, 'news_article': "What happened\nShares of Extra Space Storage (NYSE: EXR) plunged 25% in the first half of 2022, according to data provided by S&P Global Market Intelligence. The self-storage-focused real estate investment trust's (REIT) performance was a little worse than the S&P 500, which tumbled almost 21% in the first half of the year.\nHere's a closer look at what has been weighing down the self-storage REIT this year.\nSo what\nExtra Space Storage got 2022 off to an exceptional start. The REIT produced $2.01 per share of core funds from operations (FFO) in the first quarter, up 34% year over year. The company benefited from a 21.7% rise in same-store revenue, driven mainly by its ability to increase rental rates. It also continued to expand its platform. Extra Space acquired 14 stores in the first quarter for $225 million while adding another 37 locations to its third-party management platform.\nThe company's growing FFO enabled Extra Space to continue increasing its dividend. The REIT boosted its payout by 20% in the first quarter and 50% over the past year.\nHowever, one potential concern was that occupancy dipped from 95.3% in Q1 2021 to 94.5% in the first quarter of 2022. That could suggest that demand for self-storage space is slowing down due to rising rental rates or concerns about the economy.\nThose economic concerns led several analysts to downgrade their view of Extra Space's stock. For example, Jefferies analyst Jonathan Peterson lowered that firm's price target from $228 to $184 a share while keeping a hold rating on the stock. The analyst made the move because the REIT could underperform in a recession. Meanwhile, Morgan Stanley analyst Ronald Kamdem reduced the investment bank's price target due to concerns about demand. The analyst thinks rents might be too high given the current supply, which could weigh on growth.\nNow what\nShares of Extra Space Storage cooled off this year following a blistering run in 2021 that saw the self-storage REIT's stock price nearly double due to strong demand. With demand for self-storage space potentially cooling off, the REIT's FFO likely won't grow as fast.\nHowever, Extra Space has an excellent track record of increasing shareholder value over the long term. As a result, this year's sell-off looks like an attractive opportunity -- especially for income-seeking investors -- given the REIT's current yield of around 3.5%.\n10 stocks we like better than Extra Space Storage\nWhen our award-winning analyst team has a stock tip, it can pay to listen. After all, the newsletter they have run for over a decade, Motley Fool Stock Advisor, has tripled the market.*\nThey just revealed what they believe are the ten best stocks for investors to buy right now... and Extra Space Storage wasn't one of them! That's right -- they think these 10 stocks are even better buys.\nSee the 10 stocks\n*Stock Advisor returns as of June 2, 2022\nMatthew DiLallo has no position in any of the stocks mentioned. The Motley Fool has no position in any of the stocks mentioned. The Motley Fool has a disclosure policy.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.", 'news_publisher': None, 'news_lsa_summary': "What happened Shares of Extra Space Storage (NYSE: EXR) plunged 25% in the first half of 2022, according to data provided by S&P Global Market Intelligence. For example, Jefferies analyst Jonathan Peterson lowered that firm's price target from $228 to $184 a share while keeping a hold rating on the stock. Now what Shares of Extra Space Storage cooled off this year following a blistering run in 2021 that saw the self-storage REIT's stock price nearly double due to strong demand.", 'news_luhn_summary': "What happened Shares of Extra Space Storage (NYSE: EXR) plunged 25% in the first half of 2022, according to data provided by S&P Global Market Intelligence. The company's growing FFO enabled Extra Space to continue increasing its dividend. That could suggest that demand for self-storage space is slowing down due to rising rental rates or concerns about the economy.", 'news_article_title': 'Why Extra Space Storage Stock Tumbled 25% in the First Half of 2022', 'news_lexrank_summary': "What happened Shares of Extra Space Storage (NYSE: EXR) plunged 25% in the first half of 2022, according to data provided by S&P Global Market Intelligence. Here's a closer look at what has been weighing down the self-storage REIT this year. The company's growing FFO enabled Extra Space to continue increasing its dividend.", 'news_textrank_summary': "What happened Shares of Extra Space Storage (NYSE: EXR) plunged 25% in the first half of 2022, according to data provided by S&P Global Market Intelligence. Those economic concerns led several analysts to downgrade their view of Extra Space's stock. Now what Shares of Extra Space Storage cooled off this year following a blistering run in 2021 that saw the self-storage REIT's stock price nearly double due to strong demand."}, {'news_url': 'https://www.nasdaq.com/articles/crown-castle-cci-expands-credit-facility-ups-flexibility', 'news_author': None, 'news_article': 'As part of its effort to boost balance-sheet flexibility, Crown Castle International Corp. CCI recently raised the commitments under its senior unsecured revolving credit facility by $2.0 billion. It has also increased the maturity of the entire credit facility to July 2027.\n\nNow, Crown Castle’s credit facility comprises a $7.0 billion senior unsecured revolving credit facility and a $1.2 billion senior unsecured term loan A facility.\n\nEfforts to boost financial flexibility will act as a tailwind for Crown Castle. CCI’s unmatched portfolio of towers has a significant presence in the top 100 BTAs of the United States. Moreover, investment in fiber and small cell business on the back of acquisitions, constructions and new deployments complements its tower business and offers meaningful upside potential to its 5G growth strategy.\n\nCrown Castle focuses on maintaining sufficient liquidity and a decent balance sheet position. As of Mar 31, 2022, CCI had cash and cash equivalents of $312 million, up from $292 million as of Dec 31, 2021. It also enjoys investment-grade credit ratings of BBB-, BBB+ and Baa3 from Standard & Poor’s, Fitch, and Moody’s, respectively, facilitating access to debt markets on attractive terms.\n\nBy increasing the revolving credit facility commitments and maturity extension of existing facilities, the latest efforts will further add to its flexibility and enhance its growth.\n\nNonetheless, Crown Castle has a substantially leveraged balance sheet. Additional borrowings to fund near-term capital expenditure will not only inflate its debt burden but also become costlier as interest rates increase. Also, the dividend payout might become less attractive than the yields on fixed income and money market accounts.\n\nShares of this Zacks Rank #3 (Hold) company have declined 11.6% over the past three months compared with the industry’s fall of 15.2%.\n\nImage Source: Zacks Investment Research\nStocks to Consider\nSome better-ranked stocks from the REIT sector are Extra Space Storage EXR, Host Hotels & Resorts HST and Pebblebrook Hotel Trust PEB, each carrying a Zacks Rank of 1 (Strong Buy). You can see the complete list of today’s Zacks #1 Rank stocks here.\n\nThe Zacks Consensus Estimate for Extra Space Storage’s ongoing year’s FFO per share has been raised 3.4% over the past two months to $8.26.\n\nThe Zacks Consensus Estimate for Host Hotels’ 2022 FFO per share has moved 1.2% upward in the past month to $1.65.\n\nThe Zacks Consensus Estimate for Pebblebrook Hotel’s current-year FFO per share has moved 2.9% northward in the past month to $1.80.\n\nNote: Anything related to earnings presented in this write-up represent funds from operations (FFO) — a widely used metric to gauge the performance of REITs.\n\nZacks Names "Single Best Pick to Double"\nFrom thousands of stocks, 5 Zacks experts each have chosen their favorite to skyrocket +100% or more in months to come. From those 5, Director of Research Sheraz Mian hand-picks one to have the most explosive upside of all.\nIt’s a little-known chemical company that’s up 65% over last year, yet still dirt cheap. With unrelenting demand, soaring 2022 earnings estimates, and $1.5 billion for repurchasing shares, retail investors could jump in at any time.\nThis company could rival or surpass other recent Zacks’ Stocks Set to Double like Boston Beer Company which shot up +143.0% in little more than 9 months and NVIDIA which boomed +175.9% in one year.\nFree: See Our Top Stock and 4 Runners Up >>\n\nWant the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report\n \nHost Hotels & Resorts, Inc. (HST): Free Stock Analysis Report\n \nCrown Castle International Corporation (CCI): Free Stock Analysis Report\n \nPebblebrook Hotel Trust (PEB): Free Stock Analysis Report\n \nExtra Space Storage Inc (EXR): Free Stock Analysis Report\n \nTo read this article on Zacks.com click here.\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_publisher': None, 'news_lsa_summary': 'Image Source: Zacks Investment Research Stocks to Consider Some better-ranked stocks from the REIT sector are Extra Space Storage EXR, Host Hotels & Resorts HST and Pebblebrook Hotel Trust PEB, each carrying a Zacks Rank of 1 (Strong Buy). Extra Space Storage Inc (EXR): Free Stock Analysis Report As part of its effort to boost balance-sheet flexibility, Crown Castle International Corp. CCI recently raised the commitments under its senior unsecured revolving credit facility by $2.0 billion.', 'news_luhn_summary': 'Image Source: Zacks Investment Research Stocks to Consider Some better-ranked stocks from the REIT sector are Extra Space Storage EXR, Host Hotels & Resorts HST and Pebblebrook Hotel Trust PEB, each carrying a Zacks Rank of 1 (Strong Buy). Extra Space Storage Inc (EXR): Free Stock Analysis Report As part of its effort to boost balance-sheet flexibility, Crown Castle International Corp. CCI recently raised the commitments under its senior unsecured revolving credit facility by $2.0 billion.', 'news_article_title': 'Crown Castle (CCI) Expands Credit Facility, Ups Flexibility', 'news_lexrank_summary': 'Image Source: Zacks Investment Research Stocks to Consider Some better-ranked stocks from the REIT sector are Extra Space Storage EXR, Host Hotels & Resorts HST and Pebblebrook Hotel Trust PEB, each carrying a Zacks Rank of 1 (Strong Buy). Extra Space Storage Inc (EXR): Free Stock Analysis Report This company could rival or surpass other recent Zacks’ Stocks Set to Double like Boston Beer Company which shot up +143.0% in little more than 9 months and NVIDIA which boomed +175.9% in one year.', 'news_textrank_summary': 'Image Source: Zacks Investment Research Stocks to Consider Some better-ranked stocks from the REIT sector are Extra Space Storage EXR, Host Hotels & Resorts HST and Pebblebrook Hotel Trust PEB, each carrying a Zacks Rank of 1 (Strong Buy). Extra Space Storage Inc (EXR): Free Stock Analysis Report As part of its effort to boost balance-sheet flexibility, Crown Castle International Corp. CCI recently raised the commitments under its senior unsecured revolving credit facility by $2.0 billion.'}, {'news_url': 'https://www.nasdaq.com/articles/four-corners-fcpt-to-buy-outparcel-properties-for-%2417.1m', 'news_author': None, 'news_article': 'Four Corners Property Trust FCPT is on an acquisition spree. The company recently announced that it has signed a definitive agreement for the purchase of seven outparcel properties for $17.1 million. The move comes as part of its portfolio-expansion efforts, with real estate leased to strong credit operators.\n\nLocated within a highly trafficked and populated corridor in El Paso, TX, the retail outparcels are likely to keep witnessing solid demand. The properties have contractual rent stream growth, net-lease structures and strong tenancy with credit-worthy operators. Hence, the acquisition move seems a strategic fit.\n\nThe portfolio comprises six single-tenant restaurant properties and one non-restaurant retail property, and each property has a separate, individual lease. The leases have a current weighted average residual term of roughly five years. The transaction was priced at a cap rate in range with prior FCPT transactions. Four Corners expects the acquisition to close in the third quarter of 2022. This is, however, subject to customary closing norms and regulatory nods.\n\nAccording to Bill Lenehan, CEO of FCPT, “We are excited to continue opportunistically acquiring outparcel real estate leased to strong credit operators. Our team has developed an expertise in this category and will continue to grow our pipeline with low-rent outparcel properties in dense retail centers.”\n\nPrimarily engaged in the ownership and acquisition of high-quality, net-leased restaurants and retail properties, Four Corners seeks potential acquisition opportunities to enhance its portfolio with real estate catering to the restaurant and retail industries. In addition to the $17.1-million outparcel portfolio deal, Four Corners announced the acquisition of a Thrive Pet Healthcare property for $12.5 million in a strong retail corridor in Illinois. It is corporate-operated under a net lease with 15 years of residual term.\n\nEarlier, the company announced the acquisition of a Red Robin property for $2.4 million from Pennsylvania Real Estate Investment Trust (PEI), commonly known as “PREIT.” The move came as part of its PREIT transaction previously announced in June 2022 for portfolio expansion. In June, Four Corners announced that it signed a definitive agreement for the purchase of 11 outparcel properties from PREIT for $32.5 million. The retail outparcels are located within highly trafficked and populated corridors in Maryland, Massachusetts, Pennsylvania and South Carolina.\n\nFour Corners currently carries a Zacks Rank #3 (Hold). Shares of FCPT have declined 3.6% over the past three months compared with the industry’s decline of 15.2%. You can see the complete list of today’s Zacks #1 Rank (Strong Buy) stocks here.\n\nImage Source: Zacks Investment Research\nStocks to Consider\nSome key picks from the REIT sector include Prologis PLD and Extra Space Storage Inc. EXR.\n\nPrologis carries a Zacks Rank of 2 (Buy) at present. Prologis’ long-term growth rate is projected at 9.8%. The Zacks Consensus Estimate for PLD’s 2022 funds from operations (FFO) per share has been revised marginally upward in the past month.\n\nThe Zacks Consensus Estimate for Extra Space Storage’s 2022 FFO per share has moved marginally upward in the past month to $8.26. Extra Space Storage’s long-term growth rate is projected at 7.7%. EXR presently sports a Zacks Rank of 1.\n\nNote: Anything related to earnings presented in this write-up represents funds from operations (FFO) — a widely used metric to gauge the performance of REITs.\n\nZacks Names "Single Best Pick to Double"\nFrom thousands of stocks, 5 Zacks experts each have chosen their favorite to skyrocket +100% or more in months to come. From those 5, Director of Research Sheraz Mian hand-picks one to have the most explosive upside of all.\nIt’s a little-known chemical company that’s up 65% over last year, yet still dirt cheap. With unrelenting demand, soaring 2022 earnings estimates, and $1.5 billion for repurchasing shares, retail investors could jump in at any time.\nThis company could rival or surpass other recent Zacks’ Stocks Set to Double like Boston Beer Company which shot up +143.0% in little more than 9 months and NVIDIA which boomed +175.9% in one year.\nFree: See Our Top Stock and 4 Runners Up >>\n\nWant the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report\n \nPrologis, Inc. (PLD): Free Stock Analysis Report\n \nExtra Space Storage Inc (EXR): Free Stock Analysis Report\n \nFour Corners Property Trust, Inc. (FCPT): Free Stock Analysis Report\n \nTo read this article on Zacks.com click here.\n \nZacks Investment Research\nThe views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.', 'news_publisher': None, 'news_lsa_summary': 'Image Source: Zacks Investment Research Stocks to Consider Some key picks from the REIT sector include Prologis PLD and Extra Space Storage Inc. EXR. EXR presently sports a Zacks Rank of 1. Extra Space Storage Inc (EXR): Free Stock Analysis Report', 'news_luhn_summary': 'Extra Space Storage Inc (EXR): Free Stock Analysis Report Image Source: Zacks Investment Research Stocks to Consider Some key picks from the REIT sector include Prologis PLD and Extra Space Storage Inc. EXR. EXR presently sports a Zacks Rank of 1.', 'news_article_title': 'Four Corners (FCPT) to Buy Outparcel Properties for $17.1M', 'news_lexrank_summary': 'Image Source: Zacks Investment Research Stocks to Consider Some key picks from the REIT sector include Prologis PLD and Extra Space Storage Inc. EXR. EXR presently sports a Zacks Rank of 1. Extra Space Storage Inc (EXR): Free Stock Analysis Report', 'news_textrank_summary': 'Image Source: Zacks Investment Research Stocks to Consider Some key picks from the REIT sector include Prologis PLD and Extra Space Storage Inc. EXR. EXR presently sports a Zacks Rank of 1. Extra Space Storage Inc (EXR): Free Stock Analysis Report'}], 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 171.52000427246094, 'high': 174.75, 'open': 171.86000061035156, 'close': 172.0399932861328, 'ema_50': 176.40737914164868, 'rsi_14': 73.63668029952892, 'target': 167.0, 'volume': 360400.0, 'ema_200': 183.74464121195254, 'adj_close': 161.78231811523438, 'rsi_lag_1': 75.27871772248139, 'rsi_lag_2': 70.98764337661272, 'rsi_lag_3': 76.66664219667788, 'rsi_lag_4': 72.59473905471143, 'rsi_lag_5': 61.519470513252486, 'macd_lag_1': -0.4928032065085688, 'macd_lag_2': -0.7112294569029416, 'macd_lag_3': -0.9766212032320425, 'macd_lag_4': -1.4233336857752477, 'macd_lag_5': -1.7294528265730662, 'macd_12_26_9': -0.39981646509747293, 'macds_12_26_9': -1.607227853329324}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 167.0, '2022-07-13': 167.6199951171875, '2022-07-14': 167.47000122070312, '2022-07-15': 169.57000732421875, '2022-07-18': 168.60000610351562, '2022-07-19': 172.1199951171875, '2022-07-20': 172.7899932861328, '2022-07-21': 175.42999267578125, '2022-07-22': 177.91000366210938, '2022-07-25': 178.0399932861328}, '1_month_later': {'2022-08-11': 207.4499969482422}, '3_months_later': {'2022-10-11': 168.22000122070312}, '6_months_later': {'2023-01-11': 153.82000732421875}, '12_months_later': {'2023-07-11': 151.9600067138672}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

EXTR

{'date': '2022-07-11', 'ticker': 'EXTR', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 9.15999984741211, 'high': 9.359999656677246, 'open': 9.239999771118164, 'close': 9.3100004196167, 'ema_50': 9.678517783339666, 'rsi_14': 62.08335833418433, 'target': 9.25, 'volume': 731500.0, 'ema_200': 10.757562110827438, 'adj_close': 9.3100004196167, 'rsi_lag_1': 65.72581001796982, 'rsi_lag_2': 49.52681796097154, 'rsi_lag_3': 49.685527235212795, 'rsi_lag_4': 53.26797232847177, 'rsi_lag_5': 45.930233686405614, 'macd_lag_1': -0.14792207161613824, 'macd_lag_2': -0.18336562032649972, 'macd_lag_3': -0.21982830421611332, 'macd_lag_4': -0.2142976676448125, 'macd_lag_5': -0.22143060593253594, 'macd_12_26_9': -0.12325347009070597, 'macds_12_26_9': -0.19267245004772934}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 9.25, '2022-07-13': 10.43000030517578, '2022-07-14': 10.25, '2022-07-15': 10.619999885559082, '2022-07-18': 10.390000343322754, '2022-07-19': 10.600000381469728, '2022-07-20': 10.800000190734863, '2022-07-21': 11.06999969482422, '2022-07-22': 10.81999969482422, '2022-07-25': 10.789999961853027}, '1_month_later': {'2022-08-11': 13.510000228881836}, '3_months_later': {'2022-10-11': 13.229999542236328}, '6_months_later': {'2023-01-11': 19.239999771118164}, '12_months_later': {'2023-07-11': 26.770000457763672}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

EWZS

{'date': '2022-07-11', 'ticker': 'EWZS', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 11.5600004196167, 'high': 11.789999961853027, 'open': 11.789999961853027, 'close': 11.5600004196167, 'ema_50': 13.39594994915627, 'rsi_14': 32.07546626600326, 'target': 11.479999542236328, 'volume': 16600.0, 'ema_200': 14.647185077001378, 'adj_close': 10.929587364196776, 'rsi_lag_1': 43.72091847280786, 'rsi_lag_2': 28.571423010644992, 'rsi_lag_3': 33.71212983262663, 'rsi_lag_4': 27.137533684384806, 'rsi_lag_5': 22.392628973509815, 'macd_lag_1': -0.6546910794203988, 'macd_lag_2': -0.7164927338354428, 'macd_lag_3': -0.7605160653737357, 'macd_lag_4': -0.7700074876652803, 'macd_lag_5': -0.7546308943680078, 'macd_12_26_9': -0.6458755759667305, 'macds_12_26_9': -0.6953568031315711}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 11.479999542236328, '2022-07-13': 11.449999809265137, '2022-07-14': 11.329999923706056, '2022-07-15': 11.399999618530272, '2022-07-18': 11.329999923706056, '2022-07-19': 11.449999809265137, '2022-07-20': 11.59000015258789, '2022-07-21': 11.520000457763672, '2022-07-22': 11.470000267028809, '2022-07-25': 11.779999732971191}, '1_month_later': {'2022-08-11': 13.539999961853027}, '3_months_later': {'2022-10-11': 13.640000343322754}, '6_months_later': {'2023-01-11': 12.460000038146973}, '12_months_later': {'2023-07-11': 14.93000030517578}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

EYE

{'date': '2022-07-11', 'ticker': 'EYE', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 28.354999542236328, 'high': 29.82999992370605, 'open': 29.82999992370605, 'close': 28.61000061035156, 'ema_50': 30.346973399484675, 'rsi_14': 61.10236033628205, 'target': 28.350000381469727, 'volume': 1225000.0, 'ema_200': 39.111674357269656, 'adj_close': 28.61000061035156, 'rsi_lag_1': 66.21160992765257, 'rsi_lag_2': 58.966567772474754, 'rsi_lag_3': 59.580837254748275, 'rsi_lag_4': 64.26611938748198, 'rsi_lag_5': 55.11324638772072, 'macd_lag_1': 0.12174439063316811, 'macd_lag_2': 0.034284612042231544, 'macd_lag_3': -0.10737172600356715, 'macd_lag_4': -0.19396042426727078, 'macd_lag_5': -0.32100335643856326, 'macd_12_26_9': 0.08836676995306547, 'macds_12_26_9': -0.20907530114703096}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 28.350000381469727, '2022-07-13': 29.18000030517578, '2022-07-14': 29.309999465942383, '2022-07-15': 30.290000915527344, '2022-07-18': 30.520000457763672, '2022-07-19': 30.75, '2022-07-20': 31.11000061035156, '2022-07-21': 31.989999771118164, '2022-07-22': 30.65999984741211, '2022-07-25': 30.3700008392334}, '1_month_later': {'2022-08-11': 33.65999984741211}, '3_months_later': {'2022-10-11': 33.869998931884766}, '6_months_later': {'2023-01-11': 40.970001220703125}, '12_months_later': {'2023-07-11': 23.950000762939453}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

EYPT

{'date': '2022-07-11', 'ticker': 'EYPT', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 7.769999980926514, 'high': 8.460000038146973, 'open': 8.300000190734863, 'close': 8.220000267028809, 'ema_50': 8.94019360998243, 'rsi_14': 57.14286322496567, 'target': 7.96999979019165, 'volume': 189900.0, 'ema_200': 10.358772155546013, 'adj_close': 8.220000267028809, 'rsi_lag_1': 58.849560602950106, 'rsi_lag_2': 51.44230670036622, 'rsi_lag_3': 51.67464551486671, 'rsi_lag_4': 55.111112618152326, 'rsi_lag_5': 46.7680583547336, 'macd_lag_1': -0.3230553598986585, 'macd_lag_2': -0.38239637235987, 'macd_lag_3': -0.42610220318079595, 'macd_lag_4': -0.4553252691662433, 'macd_lag_5': -0.4829470966609106, 'macd_12_26_9': -0.2752747121971364, 'macds_12_26_9': -0.42598905385746233}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 7.96999979019165, '2022-07-13': 8.40999984741211, '2022-07-14': 8.149999618530273, '2022-07-15': 9.90999984741211, '2022-07-18': 9.789999961853027, '2022-07-19': 10.279999732971191, '2022-07-20': 10.739999771118164, '2022-07-21': 10.75, '2022-07-22': 10.699999809265137, '2022-07-25': 10.270000457763672}, '1_month_later': {'2022-08-11': 11.09000015258789}, '3_months_later': {'2022-10-11': 5.769999980926514}, '6_months_later': {'2023-01-11': 3.799999952316284}, '12_months_later': {'2023-07-11': 9.199999809265137}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.

EZA

{'date': '2022-07-11', 'ticker': 'EZA', 'fred_data': {'fred_cpi': 294.977, 'fred_gdp': None, 'fred_nfp': 153038.0, 'fred_ppi': 272.274, 'fred_retail_sales': 671067.0, 'fred_interest_rate': None, 'fred_trade_balance': -71040.0, 'fred_unemployment_rate': 3.5, 'fred_consumer_confidence': 51.5, 'fred_industrial_production': 103.0505, 'fred_effective_federal_funds_rate': None}, 'news_data': None, 'sec_filings': {'sec_fp': None, 'sec_fy': None, 'sec_rn': None, 'sec_end': None, 'sec_form': None, 'sec_label': None, 'sec_units': None, 'sec_value': None, 'sec_entity': None}, 'stock_metrics': {'low': 41.150001525878906, 'high': 41.630001068115234, 'open': 41.4900016784668, 'close': 41.33000183105469, 'ema_50': 45.16165789110857, 'rsi_14': 45.34536369256525, 'target': 41.20000076293945, 'volume': 241600.0, 'ema_200': 47.7848114556886, 'adj_close': 39.504791259765625, 'rsi_lag_1': 51.123578168276936, 'rsi_lag_2': 45.63691495365541, 'rsi_lag_3': 47.88460240560816, 'rsi_lag_4': 49.112423809448536, 'rsi_lag_5': 44.14893293229385, 'macd_lag_1': -0.974346627705664, 'macd_lag_2': -1.017220913443623, 'macd_lag_3': -1.105002821879765, 'macd_lag_4': -1.0512988378575017, 'macd_lag_5': -1.0183704969729632, 'macd_12_26_9': -1.0181987507528376, 'macds_12_26_9': -1.0332623655021007}, 'financial_markets': [{'Low': 25.790000915527344, 'Date': '2022-07-11', 'High': 26.739999771118164, 'Open': 26.420000076293945, 'Close': 26.170000076293945, 'Source': 'volatility_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 26.170000076293945}, {'Low': 1.0054292678833008, 'Date': '2022-07-11', 'High': 1.0167768001556396, 'Open': 1.0166114568710327, 'Close': 1.0166114568710327, 'Source': 'forex_usd_eur', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.0166114568710327}, {'Low': 1.1869436502456665, 'Date': '2022-07-11', 'High': 1.2019952535629272, 'Open': 1.2017786502838137, 'Close': 1.2016630172729492, 'Source': 'forex_usd_gbp', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 1.2016630172729492}, {'Low': 6.694200038909912, 'Date': '2022-07-11', 'High': 6.718200206756592, 'Open': 6.694300174713135, 'Close': 6.694300174713135, 'Source': 'forex_usd_cny', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 6.694300174713135}, {'Low': 100.88999938964844, 'Date': '2022-07-11', 'High': 105.0500030517578, 'Open': 104.79000091552734, 'Close': 104.08999633789062, 'Source': 'crude_oil_futures_data', 'Volume': 348566, 'date_str': '2022-07-11', 'Adj Close': 104.08999633789062}, {'Low': 0.6717901825904846, 'Date': '2022-07-11', 'High': 0.6845999956130981, 'Open': 0.6845798492431641, 'Close': 0.6845798492431641, 'Source': 'forex_aud_usd', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 0.6845798492431641}, {'Low': 2.969000101089477, 'Date': '2022-07-11', 'High': 3.049000024795532, 'Open': 3.049000024795532, 'Close': 2.990999937057495, 'Source': 'us_10yr_treasury_yield', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 2.990999937057495}, {'Low': 136.27000427246094, 'Date': '2022-07-11', 'High': 137.7449951171875, 'Open': 136.30099487304688, 'Close': 136.30099487304688, 'Source': 'forex_usd_jpy', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 136.30099487304688}, {'Low': 106.91999816894533, 'Date': '2022-07-11', 'High': 108.2699966430664, 'Open': 106.91999816894533, 'Close': 108.0199966430664, 'Source': 'us_dollar_index', 'Volume': 0, 'date_str': '2022-07-11', 'Adj Close': 108.0199966430664}, {'Low': 1730.0, 'Date': '2022-07-11', 'High': 1736.699951171875, 'Open': 1732.5, 'Close': 1730.0, 'Source': 'gold_futures_data', 'Volume': 75, 'date_str': '2022-07-11', 'Adj Close': 1730.0}]}

{'next_10_days': {'2022-07-12': 41.20000076293945, '2022-07-13': 40.75, '2022-07-14': 39.31999969482422, '2022-07-15': 39.959999084472656, '2022-07-18': 40.25, '2022-07-19': 40.88999938964844, '2022-07-20': 40.65999984741211, '2022-07-21': 41.54999923706055, '2022-07-22': 41.68000030517578, '2022-07-25': 41.63999938964844}, '1_month_later': {'2022-08-11': 45.08000183105469}, '3_months_later': {'2022-10-11': 37.02999877929688}, '6_months_later': {'2023-01-11': 46.33000183105469}, '12_months_later': {'2023-07-11': 39.900001525878906}}

YOU ARE A STOCK PRICE PREDICTION TOOL. YOUR ONLY TASK IS TO PREDICT FUTURE STOCK PRICES BASED ON PROVIDED DATA. RESPOND IN A JSON FORMAT WITH PREDICTIONS FOR THE NEXT 10 BUSINESS DAYS, 1 MONTH, 3 MONTHS, 6 MONTHS, AND 1 YEAR.