---
license: gpl-3.0
language:
- en
tags:
- finance
size_categories:
- 10M<n<100M
---
# Dataset Card for ETHUSDT 1-minute Dataset

## Dataset Details

### Dataset Description

<!-- Provide a longer summary of what this dataset is. -->

This dataset contains 1-minute granularity historical data for the ETHUSDT pair on Binance spot market, covering the period from May 1st, 2023 to May 1st, 2024. The data is formatted into a single CSV file, with each row representing a 1-minute candlestick.

- **Curated by:** Thomas Erhel
- **Language(s) (NLP):** English
- **License:** GNU General Public License v3.0 or later

## Uses

<!-- Address questions around how the dataset is intended to be used. -->

### Direct Use

<!-- This section describes suitable use cases for the dataset. -->

This dataset is suitable for various applications, including:

- Backtesting trading strategies
- Training machine learning models for cryptocurrency price prediction
- Analyzing market trends and patterns

### Out-of-Scope Use

<!-- This section addresses misuse, malicious use, and uses that the dataset will not work well for. -->

This dataset is not intended for use in high-frequency trading or real-time market analysis, as the data is aggregated at a 1-minute granularity.

## Dataset Structure

<!-- This section provides a description of the dataset fields, and additional information about the dataset structure such as criteria used to create the splits, relationships between data points, etc. -->

The dataset consists of a single CSV file, ethusdt_1min.csv, with the following columns:

- **date**: datetime object representing the timestamp of each 1-minute candlestick
- **open_price**: opening price of each 1-minute candlestick
- **high_price**: highest price of each 1-minute candlestick
- **low_price**: lowest price of each 1-minute candlestick
- **close_price**: closing price of each 1-minute candlestick
- **volume**: trading volume of each 1-minute candlestick

## Dataset Creation

### Curation Rationale

<!-- Motivation for the creation of this dataset. -->

The dataset was created to provide a comprehensive and easily accessible resource for cryptocurrency market analysis and machine learning applications.

### Source Data

<!-- This section describes the source data (e.g. news text and headlines, social media posts, translated sentences, ...). -->

The source data was obtained from Binance's API, using the k-line daily endpoint with a granularity of 1 minute.

#### Data Collection and Processing

<!-- This section describes the data collection and processing process such as data selection criteria, filtering and normalization methods, tools and libraries used, etc. -->

The data was collected using a Python script, which aggregated the data from multiple CSV files into a single file. The script used the **pandas** library to read and process the data.

#### Who are the source data producers?

<!-- This section describes the people or systems who originally created the data. It should also include self-reported demographic or identity information for the source data creators if this information is available. -->

The source data was produced by Binance, a leading cryptocurrency exchange.


#### Annotation process

<!-- This section describes the annotation process such as annotation tools used in the process, the amount of data annotated, annotation guidelines provided to the annotators, interannotator statistics, annotation validation, etc. -->

No annotation process was involved in the creation of this dataset.

#### Who are the annotators?

<!-- This section describes the people or systems who created the annotations. -->

N/A

#### Personal and Sensitive Information

<!-- State whether the dataset contains data that might be considered personal, sensitive, or private (e.g., data that reveals addresses, uniquely identifiable names or aliases, racial or ethnic origins, sexual orientations, religious beliefs, political opinions, financial or health data, etc.). If efforts were made to anonymize the data, describe the anonymization process. -->

This dataset does not contain any personal or sensitive information.

## Bias, Risks, and Limitations

<!-- This section is meant to convey both technical and sociotechnical limitations. -->

This dataset may contain biases and limitations inherent to the data collection process, such as:

- Data quality issues due to API errors or connectivity problems
- Limited coverage of the cryptocurrency market, as the dataset only includes data for the ETHUSDT pair
- Potential for data manipulation or tampering

### Recommendations

<!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->

Users should be aware of these limitations and take necessary precautions when using the dataset. Additionally, users should verify the data quality and integrity before using it for any applications.

## Dataset Card Contact

thomas.erhel@gmail.com