This dataset provides 3 years of 1-minute OHLCV candle data for Bitcoin, designed for traders and developers building strategies around Polymarket markets.

Because many Polymarket markets—especially crypto price prediction markets—react directly to short-term Bitcoin movements, having high-resolution historical data is extremely useful for testing models and simulating trades before deploying real capital.

The dataset contains over 1.5 million rows of data and includes the following fields:

Timestamp Open High Low Close Volume

All data is delivered in a clean CSV file, making it easy to import into tools like Python (pandas), Excel, R, or custom trading bots.

Common use cases

• Backtesting Polymarket trading strategies • Simulating how Bitcoin price movements affect market outcomes • Training machine learning or AI prediction models • Studying volatility and short-term price behavior • Developing automated Polymarket trading bots

The CSV format allows quick integration into most analysis environments, so you can start experimenting immediately without spending time collecting and cleaning exchange data.

If you are building trading systems, probability models, or bots for Polymarket, this dataset provides the high-frequency Bitcoin price history needed to properly test your ideas using real historical market conditions.