L2 order book data
Tick-level order book snapshots and updates with timestamped bid and ask depth for market replay and liquidity analysis.
Download tick-level order books, trades, and on-chain fills for Polymarket weather markets as Parquet files for forecast analysis, market replay, and backtesting.
Historical datasets
Access historical market microstructure data across Polymarket weather markets. Track how probabilities, liquidity, and trading activity changed as forecasts evolved and observation dates approached.
Tick-level order book snapshots and updates with timestamped bid and ask depth for market replay and liquidity analysis.
Executed trade records for studying price discovery, market activity, and historical trading behavior.
Blockchain-settled fill data for tracing wallet-level activity and validating outcomes against on-chain records.
Weather contracts often evolve through a sequence of forecast cycles rather than a single breaking event. As the observation window approaches, forecast uncertainty usually changes and new model runs can alter the information available to traders. Tick-level market data lets you examine probability, spread, depth, and trading activity around those update windows without reducing the market to only an opening and closing price.
Start with the contract's exact location, measurement, threshold, observation period, and resolution source. Markets that look similar can resolve from different stations or definitions, so grouping by a broad label such as temperature or precipitation can hide material differences. Preserve the Polymarket slug as the market identifier, use UTC for joins, and record the forecast issue time rather than only the time a forecast was downloaded.
PMData provides historical Polymarket order books, trades, and on-chain fills; it does not provide meteorological observations or numerical weather prediction output. A calibration study should join the market history to an authoritative forecast and observation source chosen for the contract. Keeping market probabilities separate from weather measurements makes it possible to test forecast reactions, time-to-resolution behavior, and resolved-outcome calibration without confusing the traded signal with the underlying physical data.
Files are organized by UTC date and Polymarket market slug, so you can download only the markets and data types needed for a reproducible research workflow.
Measure how market probabilities and liquidity changed following forecast updates or new weather observations.
Compare historical market prices with resolved outcomes to study probability calibration across weather event types.
Analyze spreads, depth, and trading activity as temperature, precipitation, or storm markets approached resolution.
Need another market category? Browse the complete Polymarket data archive.