Polymarket Historical Data API 2026 Guide
A 2026 guide to the Polymarket historical data API, historical order book snapshots, backtesting workflows, and API or subgraph tradeoffs.
This Polymarket historical data API 2026 guide explains the practical way to access past Polymarket market states for research, bots, and execution-aware backtesting.
Polymarket Historical Data API Backtesting
For Polymarket historical data API backtesting, you need snapshots that include both prices and depth. A midpoint-only series can validate signal timing, but it cannot prove fills, slippage, or partial execution.
Polymarket API Historical Data Backtesting
Polymarket API historical data backtesting workflows typically look like this: list markets, choose resolved markets, fetch snapshots, walk the order book, calculate fills, then compare results against the known winner and settlement metadata.
API or Subgraph?
If you are evaluating a Polymarket historical data API or subgraph for backtesting, use subgraph data for on-chain or market metadata research and use PolyHistorical for replayable order book snapshots. The two can complement each other, but a subgraph alone is usually not enough for fill simulation.