Datasets:
Tasks:
Time Series Forecasting
Modalities:
Text
Formats:
json
Languages:
English
Size:
10K - 100K
License:
| license: mit | |
| task_categories: | |
| - time-series-forecasting | |
| language: | |
| - en | |
| tags: | |
| - polymarket | |
| - prediction-market | |
| - finance | |
| - trading | |
| pretty_name: Polymarket Trading Dataset - Trades and Price Actions | |
| size_categories: | |
| - 10K<n<100K | |
| # Polymarket Trading Dataset | |
| ## Dataset Description | |
| This dataset contains comprehensive trading data and price action information from Polymarket, a decentralized prediction market platform. The dataset captures real-world trading activities, market dynamics, and price movements across various prediction markets. | |
| ## Dataset Contents | |
| The dataset includes: | |
| - **Trade Data**: Individual trades with timestamps, prices, volumes, and market identifiers | |
| - **Price Actions**: Time-series data of price movements and market depth | |
| - **Market Metadata**: Information about prediction markets including market questions, outcomes, and resolution criteria | |
| - **Trading Patterns**: Historical patterns of buying and selling activities | |
| ## Use Cases | |
| This dataset is valuable for: | |
| - **Time-series forecasting**: Predict future price movements based on historical trading patterns | |
| - **Market analysis**: Understand trading behavior and market dynamics in prediction markets | |
| - **ML model training**: Train models for price prediction, anomaly detection, and market sentiment analysis | |
| - **Financial research**: Study prediction market efficiency and trading strategies | |
| - **Quantitative analysis**: Develop and backtest trading algorithms | |
| ## Data Format | |
| The data is structured in a tabular format with the following key fields: | |
| - Timestamps for all trades and price updates | |
| - Market identifiers and outcome tokens | |
| - Trade prices, volumes, and directions (buy/sell) | |
| - Liquidity and market depth metrics | |
| - User trading patterns (anonymized) | |
| ## Collection Methodology | |
| The data was collected from the Polymarket platform using their public API, capturing real-time trading activities and price updates across multiple markets over time. | |
| ## Considerations | |
| - The dataset reflects real-world trading on a decentralized prediction market | |
| - Price movements are influenced by both market events and trading dynamics | |
| - Data may contain periods of high volatility and varying liquidity conditions | |
| - Suitable for research and educational purposes in prediction markets and trading analysis | |
| ## Citation | |
| If you use this dataset in your research or applications, please cite: | |
| ``` | |
| @dataset{polymarket_trading_2024, | |
| title={Polymarket Trading Dataset - Trades and Price Actions}, | |
| author={bbasavar}, | |
| year={2024}, | |
| publisher={Hugging Face} | |
| } | |
| ``` |