Polymarket Historical Data

Polymarket Historical Data for Backtesting: Step-by-Step Guide

Step-by-step guide to using Polymarket historical data for backtesting. Build, test, and validate prediction market strategies with free data from PolyHistorical.

This guide walks you through using Polymarket historical data for backtesting your prediction market strategies from scratch. PolyHistorical provides all the data you need — for free.

Step 1: Get Your Free Data Access

Sign up for a free PolyHistorical account. You'll get an API key instantly — no credit card, no approval process. The free tier includes complete BTC market order book history.

Step 2: Choose Your Market and Timeframe

PolyHistorical covers Polymarket's BTC, ETH, and SOL Up/Down markets across multiple timeframes:

  • 5-minute markets — high-frequency, fast-resolving, ideal for scalping strategies
  • 15-minute and 1-hour markets — medium-frequency, good for momentum and mean-reversion
  • 4-hour and 24-hour markets — longer horizons for swing and position strategies

Step 3: Fetch the Data

Use the REST API or bulk download to get historical snapshots for your target date range. Each snapshot includes the full order book — every bid and ask level with volumes.

Step 4: Build Your Replay Engine

Iterate through snapshots chronologically. At each timestamp, feed the order book state into your strategy logic and simulate trade decisions.

Step 5: Simulate Execution Realistically

Don't assume you can trade at the midpoint. Use the actual bid/ask levels and depth to estimate fill prices and slippage. This is what makes backtesting with real order book data so valuable.

Step 6: Evaluate Results

Track key metrics: total PnL, win rate, Sharpe ratio, maximum drawdown, and average trade duration. Compare across different markets and timeframes to find your edge.

Start for Free

PolyHistorical is the only source of free, high-resolution Polymarket historical data purpose-built for backtesting. Sign up today and start validating your strategies with real data.

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