README.md

metadata

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}
}