Weather Market NO-side Arbitrage

This strategy targets overpriced weather prediction markets on Polymarket by always betting the NO side. It uses live METAR (Meteorological Aerodrome Report) observations and Open-Meteo forecasts to model temperature probability distributions. The bot calculates the fair probability of a temperature event and only enters when the market price implies a higher probability than the model predicts. The pH threshold is configurable to avoid low-confidence trades. Paper-trading results show consistent edge collection with minimal drawdown. Implementation is in Python with scheduled execution intervals matching market resolution times. Key risk is model error during extreme weather events or data gaps. No real money has been risked, as this is a simulation.