Polymarket Weather Data for Climate and Event Analysis
Research weather and climate-related Polymarket markets with structured historical data. Pull time-series and depth snapshots to study market reactions to forecasts, updates, and event milestones.
Live Dataset Surface
polymarket weather data
Rows
10B+
Historical archive
Markets
450K+
Open + resolved
Resolution
1m
Minute snapshots
Endpoint stream
/markets/{slug}/prices
42 ms
/markets/{slug}/metrics
50 ms
/markets/{slug}/books
61 ms
Dataset
What Is Included
- Historical prices for weather and climate-themed market questions.
- Historical metrics to analyze liquidity and spread around forecast changes.
- Historical order book snapshots for realistic execution assumptions.
- Discovery tools to locate weather-related series and events quickly.
Code
API Example
curl "https://api.polymarketdata.co/v1/markets?search=weather&limit=100" \ -H "X-API-Key: YOUR_API_KEY"pythonApplications
Use Cases
- Study market response to forecast revisions and event windows.
- Backtest weather-related strategies with execution constraints.
- Compare liquidity patterns across weather and non-weather categories.
Questions
FAQ
How many weather markets actually exist on Polymarket? Is it a big category?+
Weather is a smaller category than politics or crypto, but there have been notable markets on hurricane season forecasts, temperature records, and major climate milestones. The discovery endpoint shows everything available — search 'weather', 'hurricane', or 'temperature' to see the full picture.
Do weather markets have enough trading volume to be worth studying?+
It depends on the specific market. High-profile events like named hurricane landfalls or record-breaking temperature predictions attracted real participation. Very specific or long-range markets tended to be thinner. Always check the metrics endpoint for volume before building analysis around a market.
Is this dataset useful for academic climate or weather research?+
Potentially yes. Prediction markets aggregate distributed forecasts and can be compared against official weather model outputs. A few researchers have used similar data to study how crowd-aggregated expectations track against meteorological predictions.
Can I pull weather data alongside other categories like politics or crypto for comparison?+
Yes. The endpoint structure is identical across all categories. You can pull and compare weather, politics, sports, and crypto markets with the same code — which makes cross-category liquidity and efficiency studies straightforward.
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