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Weather NO-Side Betting Strategy

Statisticalscore 6found Jun 27, 2026github.com/BallesJr/polymarket-weather-edge.git

Bets the NO side of overpriced Polymarket temperature markets using live METAR observations and Open-Meteo forecasts with a Gaussian probability model.


This strategy identifies overpriced YES contracts on Polymarket temperature markets (e.g., 'Will temperature exceed X in City Y on Date Z?'). It uses live METAR weather station data and Open-Meteo forecast data to compute a Gaussian probability distribution for the actual temperature. When the market-implied probability of YES exceeds the model's estimated probability by a sufficient margin (edge), the bot places a NO bet, effectively selling the overpriced YES shares. Entry is triggered when the calculated edge exceeds a configurable threshold. Exit occurs at expiration or when the market price reverts closer to fair value. The repo implements a paper-trading mode that logs hypothetical P&L without real funds. This strategy is specific to weather events and relies on the assumption that weather prediction markets often misprice tail risks or lag behind forecast updates.