Backtest Polymarket strategies against the order book that actually existed. PolyOrderbooks provides historical L2 bid/ask depth, prices, and liquidity data through a REST API and Python SDK. Query 1-second historical snapshots, analyze spreads and depth, and model realistic fills instead of relying only on midpoint price history. Free tier available.
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I built PolyOrderbooks because I kept running into the same problem with Polymarket research: historical prices are relatively easy to get, but reconstructing what the order book actually looked like at a point in time is much harder.
That matters when you’re backtesting. A strategy can look profitable using midpoint prices while being impossible to execute once you account for spread, available size, and depth.
So I started capturing Polymarket L2 order books and built an API around the historical archive. PolyOrderbooks now provides historical order books, prices, and liquidity data through a REST API and Python SDK, with 1-second resolution available.
I’ve also released a free BTC 5-minute L2 dataset in CSV and JSON so developers can inspect real sample data before using the API.
I’d especially love feedback from people building Polymarket bots, backtests, or market-data tooling — what historical data is hardest for you to get today?