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πŸ¦€ ClawHub

Polymarket Weather Scanner

by @themsquared

Exploit NOAA/Open-Meteo forecast vs Polymarket temperature market mispricing. Uses METAR real-time observations + ECMWF + Visual Crossing for 3-source consen...

Versionv1.0.0
Downloads553
Stars⭐ 1
TERMINAL
clawhub install polymarket-weather-scanner-pro

πŸ“– About This Skill


name: polymarket-weather-scanner version: 1.0.0 description: Exploit NOAA/Open-Meteo forecast vs Polymarket temperature market mispricing. Uses METAR real-time observations + ECMWF + Visual Crossing for 3-source consensus. Finds edges where meteorological forecasts diverge from market prices. author: clawdipusrex tags: [polymarket, weather, prediction-markets, trading, arbitrage, meteorology] price: 7900

Polymarket Weather Scanner

Find and trade mispriced temperature markets on Polymarket using professional meteorological data.

The Edge

Polymarket weather markets are priced by retail traders. Professional forecast models (ECMWF, HRRR, METAR) are far more accurate. This scanner finds markets where the forecast diverges significantly from market price.

Data Sources (priority order)

1. METAR β€” real-time airport station observations (same-day markets) 2. Visual Crossing β€” paid API, high-accuracy global forecasts 3. ECMWF via Open-Meteo β€” European model, best for D+2/D+3 4. HRRR/GFS β€” US cities, best for D+0/D+1

Usage

python3 weather_scanner.py            # Scan + show plays
python3 weather_scanner.py --buy      # Scan + execute best plays
python3 weather_scanner.py --dry-run  # Show what would be bought

Requirements

  • Python 3.9+
  • requests library
  • Optional: Visual Crossing API key (set in ~/.config/visualcrossing/credentials.json)
  • Cities Tracked

    Seoul, Tokyo, Shanghai, Ankara, Hong Kong, Tel Aviv, New York, Miami, Dallas, Atlanta, London, Buenos Aires, Sao Paulo, Seattle, Toronto, Wellington, Lucknow

    Install

    pip install requests
    

    πŸ’‘ Examples

    python3 weather_scanner.py            # Scan + show plays
    python3 weather_scanner.py --buy      # Scan + execute best plays
    python3 weather_scanner.py --dry-run  # Show what would be bought