{ "cells": [ { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "import pandas as pd\n", "import matplotlib.pyplot as plt\n", "import seaborn as sns\n", "import numpy as np\n", "sns.set_style(\"darkgrid\")" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "new_all_trades = pd.read_parquet('../json_data/new_all_trades.parquet')\n", "old_all_trades = pd.read_parquet('../json_data/old_all_trades.parquet')" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "merge_df = pd.concat([old_all_trades, new_all_trades], ignore_index=True)" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "36091" ] }, "execution_count": 7, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(merge_df)" ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [], "source": [ "filtered_merge_df =merge_df.drop_duplicates()" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "36091" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(filtered_merge_df)" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "is_invalid\n", "False 36029\n", "True 62\n", "Name: count, dtype: int64" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "filtered_merge_df.is_invalid.value_counts()" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [], "source": [ "new_invalid_trades = merge_df.loc[merge_df[\"is_invalid\"] == True]" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "invalid_trades = pd.read_parquet(\"../data/invalid_trades.parquet\")" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "RangeIndex: 2589 entries, 0 to 2588\n", "Data columns (total 22 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 trader_address 2589 non-null object \n", " 1 market_creator 2589 non-null object \n", " 2 trade_id 2589 non-null object \n", " 3 creation_timestamp 2589 non-null datetime64[ns, UTC]\n", " 4 title 2589 non-null object \n", " 5 market_status 2589 non-null object \n", " 6 collateral_amount 2589 non-null float64 \n", " 7 outcome_index 2589 non-null object \n", " 8 trade_fee_amount 2589 non-null float64 \n", " 9 outcomes_tokens_traded 2589 non-null float64 \n", " 10 current_answer 2589 non-null int64 \n", " 11 is_invalid 2589 non-null bool \n", " 12 winning_trade 2589 non-null bool \n", " 13 earnings 2589 non-null float64 \n", " 14 redeemed 2589 non-null bool \n", " 15 redeemed_amount 2589 non-null float64 \n", " 16 num_mech_calls 2589 non-null int64 \n", " 17 mech_fee_amount 2589 non-null float64 \n", " 18 net_earnings 2589 non-null float64 \n", " 19 roi 2573 non-null float64 \n", " 20 staking 0 non-null object \n", " 21 nr_mech_calls 0 non-null float64 \n", "dtypes: bool(3), datetime64[ns, UTC](1), float64(9), int64(2), object(7)\n", "memory usage: 392.0+ KB\n" ] } ], "source": [ "invalid_trades.info()" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Timestamp('2024-09-09 02:55:15+0000', tz='UTC')" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "min(invalid_trades.creation_timestamp)" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "cutoff_date = \"2024-10-30\"\n", "min_date_utc = pd.to_datetime(cutoff_date, format=\"%Y-%m-%d\", utc=True)\n", "invalid_trades = invalid_trades.loc[invalid_trades[\"creation_timestamp\"]> min_date_utc]\n", "invalid_trades.to_parquet(\"../data/invalid_trades.parquet\", index=False)" ] }, { "cell_type": "code", "execution_count": 17, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "682" ] }, "execution_count": 17, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(invalid_trades)" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [], "source": [ "i_merge_df = pd.concat([old_invalid_trades, new_invalid_trades], ignore_index=True)" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "744" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(i_merge_df)" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [], "source": [ "invalid_trades = i_merge_df.drop_duplicates()" ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "744" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "len(invalid_trades)" ] }, { "cell_type": "code", "execution_count": 18, "metadata": {}, "outputs": [], "source": [ "invalid_trades.to_parquet(\"../data/invalid_trades.parquet\", index=False)" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "invalid_trades = pd.read_parquet('../data/invalid_trades.parquet')" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "RangeIndex: 744 entries, 0 to 743\n", "Data columns (total 21 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 trader_address 744 non-null object \n", " 1 market_creator 744 non-null object \n", " 2 trade_id 744 non-null object \n", " 3 creation_timestamp 744 non-null datetime64[ns, UTC]\n", " 4 title 744 non-null object \n", " 5 market_status 744 non-null object \n", " 6 collateral_amount 744 non-null float64 \n", " 7 outcome_index 744 non-null object \n", " 8 trade_fee_amount 744 non-null float64 \n", " 9 outcomes_tokens_traded 744 non-null float64 \n", " 10 current_answer 744 non-null int64 \n", " 11 is_invalid 744 non-null bool \n", " 12 winning_trade 744 non-null bool \n", " 13 earnings 744 non-null float64 \n", " 14 redeemed 744 non-null bool \n", " 15 redeemed_amount 744 non-null float64 \n", " 16 num_mech_calls 744 non-null int64 \n", " 17 mech_fee_amount 744 non-null float64 \n", " 18 net_earnings 744 non-null float64 \n", " 19 roi 744 non-null float64 \n", " 20 staking 0 non-null object \n", "dtypes: bool(3), datetime64[ns, UTC](1), float64(8), int64(2), object(7)\n", "memory usage: 106.9+ KB\n" ] } ], "source": [ "invalid_trades.info()" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "invalid_trades['creation_timestamp'] = pd.to_datetime(invalid_trades['creation_timestamp'])\n", "invalid_trades['creation_date'] = invalid_trades['creation_timestamp'].dt.date" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "datetime.date(2024, 11, 7)" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "max(invalid_trades.creation_date)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Number of invalid trades" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0.5, 1.0, 'Distribution of daily invalid trades over time')" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "sns.histplot(data=invalid_trades, x=\"creation_date\", kde=True)\n", "plt.xticks(rotation=45, ha='right') \n", "plt.xlabel(\"Creation date\")\n", "plt.ylabel(\"Daily number of invalid trades\")\n", "plt.title(\"Distribution of daily invalid trades over time\")" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "application/vnd.plotly.v1+json": { "config": { "plotlyServerURL": "https://plot.ly" }, "data": [ { "alignmentgroup": "True", "bingroup": "x", "hovertemplate": "creation_date=%{x}
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"bgcolor": "#E5ECF6", "radialaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "scene": { "xaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "yaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" }, "zaxis": { "backgroundcolor": "#E5ECF6", "gridcolor": "white", "gridwidth": 2, "linecolor": "white", "showbackground": true, "ticks": "", "zerolinecolor": "white" } }, "shapedefaults": { "line": { "color": "#2a3f5f" } }, "ternary": { "aaxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "baxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" }, "bgcolor": "#E5ECF6", "caxis": { "gridcolor": "white", "linecolor": "white", "ticks": "" } }, "title": { "x": 0.05 }, "xaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 }, "yaxis": { "automargin": true, "gridcolor": "white", "linecolor": "white", "ticks": "", "title": { "standoff": 15 }, "zerolinecolor": "white", "zerolinewidth": 2 } } }, "xaxis": { "anchor": "y", "domain": [ 0, 1 ], "title": { "text": "creation_date" } }, "yaxis": { "anchor": "x", "domain": [ 0, 1 ], "title": { "text": "count" } } } } }, "metadata": {}, "output_type": "display_data" } ], "source": [ "import plotly.express as px\n", "\n", "fig = px.histogram(invalid_trades, x=\"creation_date\")\n", "fig.show()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Number of invalid markets" ] }, { "cell_type": "code", "execution_count": 15, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'Will there be another attack on Tel Aviv by Hamas by 5 June 2024?'" ] }, "execution_count": 15, "metadata": {}, "output_type": "execute_result" } ], "source": [ "invalid_trades.iloc[0].title" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The title is the market. Let's see the total number of markets on the file." ] }, { "cell_type": "code", "execution_count": 16, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "21" ] }, "execution_count": 16, "metadata": {}, "output_type": "execute_result" } ], "source": [ "invalid_markets = list(invalid_trades.title.unique())\n", "len(invalid_markets)" ] }, { "cell_type": "code", "execution_count": 10, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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creation_datetrades_countnr_markets
02024-05-2071
12024-05-21192
22024-05-22123
32024-05-23383
42024-05-24643
\n", "
" ], "text/plain": [ " creation_date trades_count nr_markets\n", "0 2024-05-20 7 1\n", "1 2024-05-21 19 2\n", "2 2024-05-22 12 3\n", "3 2024-05-23 38 3\n", "4 2024-05-24 64 3" ] }, "execution_count": 10, "metadata": {}, "output_type": "execute_result" } ], "source": [ "daily_invalid_markets = invalid_trades.groupby(\"creation_date\").agg(trades_count=(\"title\", \"count\"), nr_markets=(\"title\", \"nunique\")).reset_index()\n", "daily_invalid_markets.head()" ] }, { "cell_type": "code", "execution_count": 11, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "RangeIndex: 42 entries, 0 to 41\n", "Data columns (total 3 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 creation_date 42 non-null object\n", " 1 trades_count 42 non-null int64 \n", " 2 nr_markets 42 non-null int64 \n", "dtypes: int64(2), object(1)\n", "memory usage: 1.1+ KB\n" ] } ], "source": [ "daily_invalid_markets.info()" ] }, { "cell_type": "code", "execution_count": 12, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "datetime.date(2024, 5, 20)" ] }, "execution_count": 12, "metadata": {}, "output_type": "execute_result" } ], "source": [ "daily_invalid_markets.iloc[0].creation_date" ] }, { "cell_type": "code", "execution_count": 13, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "RangeIndex: 42 entries, 0 to 41\n", "Data columns (total 3 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 creation_date 42 non-null object\n", " 1 trades_count 42 non-null int64 \n", " 2 nr_markets 42 non-null int64 \n", "dtypes: int64(2), object(1)\n", "memory usage: 1.1+ KB\n" ] } ], "source": [ "\n", "daily_invalid_markets[\"creation_date\"] = daily_invalid_markets[\"creation_date\"].astype(str)\n", "daily_invalid_markets.info()" ] }, { "cell_type": "code", "execution_count": 14, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "'2024-05-20'" ] }, "execution_count": 14, "metadata": {}, "output_type": "execute_result" } ], "source": [ "daily_invalid_markets.iloc[0].creation_date" ] }, { "cell_type": "code", "execution_count": 27, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0.5, 1.0, 'Evolution of daily invalid markets over time')" ] }, "execution_count": 27, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "sns.set_theme(palette=\"viridis\")\n", "sns.lineplot(data=daily_invalid_markets, x=\"creation_date\", y=\"nr_markets\")\n", "plt.xticks(rotation=45, ha='right') \n", "plt.xlabel(\"Creation date\")\n", "plt.ylabel(\"Daily number of invalid markets\")\n", "plt.title(\"Evolution of daily invalid markets over time\")" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "# Ratio of invalid trades per market" ] }, { "cell_type": "code", "execution_count": 29, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "Index(['Will there be another attack on Tel Aviv by Hamas by 5 June 2024?',\n", " 'Will the World Court accept another request from Mexico for measures against Ecuador by 29 May 2024?',\n", " 'Will Android's new feature to detect if your phone has been snatched be officially launched by 24 May 2024?',\n", " 'Will Elon Musk's disputed $58 billion compensation package be approved by institutional investors by 8 June 2024?',\n", " 'Will Iga Swiatek win the French Open 2024?',\n", " 'Will the southern New Jersey forest fire be completely extinguished by 12 July 2024?',\n", " 'Will Cristiano Ronaldo score a goal in the Euro 2024 on or by 30 May 2024?',\n", " 'Will Phil Foden score a goal in the Euro 2024 finals on 4 July 2024?',\n", " 'Will Train release another song after 'Long Yellow Dress' by 3 June 2024?',\n", " 'Will the verdict of Julian Assange's extradition fight be announced by 25 May 2024?',\n", " 'Will the Sonos Ace headphones surpass the sales of Apple’s AirPods Max and Sony’s WH-1000XM5 by 29 May 2024?',\n", " 'Will a peace agreement be reached between Russia and Ukraine on or before 2 June 2024?',\n", " 'Will Apple successfully overtake the leaders in AI technology by 2024?',\n", " 'Will the federal bill criminalizing deepfake nudes be passed into law on 28 June 2024?',\n", " 'Will the iPad Pro (2024) and iPad Air 6 have more sales than their previous versions by 28 May 2024?',\n", " 'Will a significant rise in sea levels occur due to the new Antarctic ice sheet ‘tipping point’ on 2 July 2024?',\n", " 'Will Valerie Bertinelli return to social media on 26 May 2024?',\n", " 'Will the crisis formed by the Egyptian authorities on 30 June 2024 resolve the issue of the deaths during the annual Muslim pilgrimage to Mecca?',\n", " 'Will Russian teenager Mirra Andreeva win the French Open 2024?',\n", " 'Will Australia win the T20 World Cup 2024?',\n", " 'Will the LA Lakers win their first game under the new head coach, JJ Redick, on 1 July 2024?'],\n", " dtype='object')\n" ] } ], "source": [ "# give an id to each market\n", "# assign a unique integer ID to each unique value\n", "cat = invalid_trades['title']\n", "codes, uniques = pd.factorize(cat)\n", "\n", "# add the IDs as a new column to the original dataframe\n", "invalid_trades['title_id'] = codes\n", "\n", "print(uniques)" ] }, { "cell_type": "code", "execution_count": 30, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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trader_addresstrade_idcreation_timestamptitlemarket_statuscollateral_amountoutcome_indextrade_fee_amountoutcomes_tokens_tradedcurrent_answer...winning_tradeearningsredeemedredeemed_amountnum_mech_callsmech_fee_amountnet_earningsroicreation_datetitle_id
00x034c4ad84f7ac6638bf19300d5bbe7d9b981e7360x0941312d4129ae67d5dd661db7b9659411a949b80x03...2024-06-02 14:27:50+00:00Will there be another attack on Tel Aviv by Ha...CLOSED1.24875510.0249752.371756-1...False1.248755True1.24875500.0-0.024975-0.0196082024-06-020
10x034c4ad84f7ac6638bf19300d5bbe7d9b981e7360x0941312d4129ae67d5dd661db7b9659411a949b80x03...2024-06-03 16:29:00+00:00Will there be another attack on Tel Aviv by Ha...CLOSED0.74934700.0149871.339527-1...False0.749347True0.74934700.0-0.014987-0.0196082024-06-030
20x034c4ad84f7ac6638bf19300d5bbe7d9b981e7360x0941312d4129ae67d5dd661db7b9659411a949b80x03...2024-06-04 18:25:55+00:00Will there be another attack on Tel Aviv by Ha...CLOSED0.74959300.0149921.369272-1...False0.749593True0.74959300.0-0.014992-0.0196082024-06-040
30x034c4ad84f7ac6638bf19300d5bbe7d9b981e7360x09c12830e837b966167a853659135474257df59b0x03...2024-05-28 14:25:40+00:00Will the World Court accept another request fr...CLOSED0.74173910.0148351.208649-1...False0.741739True0.74173900.0-0.014835-0.0196082024-05-281
40x034c4ad84f7ac6638bf19300d5bbe7d9b981e7360x09c12830e837b966167a853659135474257df59b0x03...2024-05-29 16:26:40+00:00Will the World Court accept another request fr...CLOSED0.68981310.0137960.914552-1...False0.689813True0.68981300.0-0.013796-0.0196082024-05-291
\n", "

5 rows × 21 columns

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" ], "text/plain": [ " trader_address \\\n", "0 0x034c4ad84f7ac6638bf19300d5bbe7d9b981e736 \n", "1 0x034c4ad84f7ac6638bf19300d5bbe7d9b981e736 \n", "2 0x034c4ad84f7ac6638bf19300d5bbe7d9b981e736 \n", "3 0x034c4ad84f7ac6638bf19300d5bbe7d9b981e736 \n", "4 0x034c4ad84f7ac6638bf19300d5bbe7d9b981e736 \n", "\n", " trade_id \\\n", "0 0x0941312d4129ae67d5dd661db7b9659411a949b80x03... \n", "1 0x0941312d4129ae67d5dd661db7b9659411a949b80x03... \n", "2 0x0941312d4129ae67d5dd661db7b9659411a949b80x03... \n", "3 0x09c12830e837b966167a853659135474257df59b0x03... \n", "4 0x09c12830e837b966167a853659135474257df59b0x03... \n", "\n", " creation_timestamp \\\n", "0 2024-06-02 14:27:50+00:00 \n", "1 2024-06-03 16:29:00+00:00 \n", "2 2024-06-04 18:25:55+00:00 \n", "3 2024-05-28 14:25:40+00:00 \n", "4 2024-05-29 16:26:40+00:00 \n", "\n", " title market_status \\\n", "0 Will there be another attack on Tel Aviv by Ha... CLOSED \n", "1 Will there be another attack on Tel Aviv by Ha... CLOSED \n", "2 Will there be another attack on Tel Aviv by Ha... CLOSED \n", "3 Will the World Court accept another request fr... CLOSED \n", "4 Will the World Court accept another request fr... CLOSED \n", "\n", " collateral_amount outcome_index trade_fee_amount outcomes_tokens_traded \\\n", "0 1.248755 1 0.024975 2.371756 \n", "1 0.749347 0 0.014987 1.339527 \n", "2 0.749593 0 0.014992 1.369272 \n", "3 0.741739 1 0.014835 1.208649 \n", "4 0.689813 1 0.013796 0.914552 \n", "\n", " current_answer ... winning_trade earnings redeemed redeemed_amount \\\n", "0 -1 ... False 1.248755 True 1.248755 \n", "1 -1 ... False 0.749347 True 0.749347 \n", "2 -1 ... False 0.749593 True 0.749593 \n", "3 -1 ... False 0.741739 True 0.741739 \n", "4 -1 ... False 0.689813 True 0.689813 \n", "\n", " num_mech_calls mech_fee_amount net_earnings roi creation_date \\\n", "0 0 0.0 -0.024975 -0.019608 2024-06-02 \n", "1 0 0.0 -0.014987 -0.019608 2024-06-03 \n", "2 0 0.0 -0.014992 -0.019608 2024-06-04 \n", "3 0 0.0 -0.014835 -0.019608 2024-05-28 \n", "4 0 0.0 -0.013796 -0.019608 2024-05-29 \n", "\n", " title_id \n", "0 0 \n", "1 0 \n", "2 0 \n", "3 1 \n", "4 1 \n", "\n", "[5 rows x 21 columns]" ] }, "execution_count": 30, "metadata": {}, "output_type": "execute_result" } ], "source": [ "invalid_trades.head()" ] }, { "cell_type": "code", "execution_count": 32, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\n", "RangeIndex: 1316 entries, 0 to 1315\n", "Data columns (total 21 columns):\n", " # Column Non-Null Count Dtype \n", "--- ------ -------------- ----- \n", " 0 trader_address 1316 non-null object \n", " 1 trade_id 1316 non-null object \n", " 2 creation_timestamp 1316 non-null datetime64[ns, UTC]\n", " 3 title 1316 non-null object \n", " 4 market_status 1316 non-null object \n", " 5 collateral_amount 1316 non-null float64 \n", " 6 outcome_index 1316 non-null object \n", " 7 trade_fee_amount 1316 non-null float64 \n", " 8 outcomes_tokens_traded 1316 non-null float64 \n", " 9 current_answer 1316 non-null int64 \n", " 10 is_invalid 1316 non-null bool \n", " 11 winning_trade 1316 non-null bool \n", " 12 earnings 1316 non-null float64 \n", " 13 redeemed 1316 non-null bool \n", " 14 redeemed_amount 1316 non-null float64 \n", " 15 num_mech_calls 1316 non-null int64 \n", " 16 mech_fee_amount 1316 non-null float64 \n", " 17 net_earnings 1316 non-null float64 \n", " 18 roi 1316 non-null float64 \n", " 19 creation_date 1316 non-null object \n", " 20 title_id 1316 non-null int64 \n", "dtypes: bool(3), datetime64[ns, UTC](1), float64(8), int64(3), object(6)\n", "memory usage: 189.0+ KB\n" ] } ], "source": [ "invalid_trades.info()" ] }, { "cell_type": "code", "execution_count": 35, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "Text(0.5, 1.0, 'Distribution of invalid trades over markets')" ] }, "execution_count": 35, "metadata": {}, "output_type": "execute_result" }, { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "sns.displot(invalid_trades, x=\"title_id\")\n", "plt.xlabel(\"market id\")\n", "plt.ylabel(\"Total number of invalid trades by market\")\n", "plt.title(\"Distribution of invalid trades per market\")" ] }, { "cell_type": "code", "execution_count": 45, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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titlenr_invalid_trades
0Will there be another attack on Tel Aviv by Ha...159
1Will Elon Musk's disputed $58 billion compensa...127
2Will Iga Swiatek win the French Open 2024?104
3Will Cristiano Ronaldo score a goal in the Eur...98
4Will the iPad Pro (2024) and iPad Air 6 have m...94
5Will the federal bill criminalizing deepfake n...93
6Will a significant rise in sea levels occur du...81
7Will Train release another song after 'Long Ye...72
8Will the World Court accept another request fr...70
9Will Australia win the T20 World Cup 2024?67
10Will the LA Lakers win their first game under ...56
11Will Valerie Bertinelli return to social media...51
12Will the verdict of Julian Assange's extraditi...43
13Will Apple successfully overtake the leaders i...34
14Will the southern New Jersey forest fire be co...28
15Will Phil Foden score a goal in the Euro 2024 ...27
16Will the Sonos Ace headphones surpass the sale...24
17Will the crisis formed by the Egyptian authori...23
18Will Russian teenager Mirra Andreeva win the F...23
19Will Android's new feature to detect if your p...23
20Will a peace agreement be reached between Russ...19
\n", "
" ], "text/plain": [ " title nr_invalid_trades\n", "0 Will there be another attack on Tel Aviv by Ha... 159\n", "1 Will Elon Musk's disputed $58 billion compensa... 127\n", "2 Will Iga Swiatek win the French Open 2024? 104\n", "3 Will Cristiano Ronaldo score a goal in the Eur... 98\n", "4 Will the iPad Pro (2024) and iPad Air 6 have m... 94\n", "5 Will the federal bill criminalizing deepfake n... 93\n", "6 Will a significant rise in sea levels occur du... 81\n", "7 Will Train release another song after 'Long Ye... 72\n", "8 Will the World Court accept another request fr... 70\n", "9 Will Australia win the T20 World Cup 2024? 67\n", "10 Will the LA Lakers win their first game under ... 56\n", "11 Will Valerie Bertinelli return to social media... 51\n", "12 Will the verdict of Julian Assange's extraditi... 43\n", "13 Will Apple successfully overtake the leaders i... 34\n", "14 Will the southern New Jersey forest fire be co... 28\n", "15 Will Phil Foden score a goal in the Euro 2024 ... 27\n", "16 Will the Sonos Ace headphones surpass the sale... 24\n", "17 Will the crisis formed by the Egyptian authori... 23\n", "18 Will Russian teenager Mirra Andreeva win the F... 23\n", "19 Will Android's new feature to detect if your p... 23\n", "20 Will a peace agreement be reached between Russ... 19" ] }, "execution_count": 45, "metadata": {}, "output_type": "execute_result" } ], "source": [ "top_invalid_markets = invalid_trades.title.value_counts().reset_index()\n", "top_invalid_markets.rename(columns={\"count\": \"nr_invalid_trades\"}, inplace=True)\n", "top_invalid_markets\n" ] }, { "cell_type": "code", "execution_count": 47, "metadata": {}, "outputs": [ { "data": { "image/png": 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", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plot = sns.barplot(\n", " top_invalid_markets.head(),\n", " x=\"nr_invalid_trades\",\n", " y=\"title\",\n", " hue=\"title\",\n", " dodge=False,\n", ")" ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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creation_datemetriccount
02024-05-20trades_count7
12024-05-21trades_count19
22024-05-22trades_count12
32024-05-23trades_count38
42024-05-24trades_count64
\n", "
" ], "text/plain": [ " creation_date metric count\n", "0 2024-05-20 trades_count 7\n", "1 2024-05-21 trades_count 19\n", "2 2024-05-22 trades_count 12\n", "3 2024-05-23 trades_count 38\n", "4 2024-05-24 trades_count 64" ] }, "execution_count": 24, "metadata": {}, "output_type": "execute_result" } ], "source": [ "daily_data = daily_invalid_markets.melt(id_vars=[\"creation_date\"], var_name=\"metric\", value_name=\"count\")\n", "daily_data.head()" ] } ], "metadata": { "kernelspec": { "display_name": "hf_dashboards", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.12.2" } }, "nbformat": 4, "nbformat_minor": 2 }