Strategies53 shown

Bot exploits weather forecast model deviations to trade temperature and precipitation outcome markets before pricing adjusts.

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

Bet the NO side of overpriced Polymarket temperature markets by comparing live METAR observations and Open-Meteo forecasts against a Gaussian probability model to identify when YES prices exceed true probability.

Edge sourced from systematic overpricing of YES outcomes in Polymarket temperature markets, identified by comparing market prices to physically-grounded meteorological probability models.

Automated paper-trading bot that bets the NO side of overpriced Polymarket temperature markets using live METAR data and Gaussian probability model.

Bets the NO side of overpriced Polymarket temperature markets using live METAR observations and Gaussian probability models.

Bets the NO side of overpriced Polymarket temperature markets using live meteorological data and probabilistic models.

Paper-trading bot that bets the NO side of overpriced Polymarket temperature markets using live weather data and probabilistic modeling.

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

Bets the NO side of overpriced temperature markets using live METAR observations and forecasts

Automated paper-trading bot that bets the NO side of overpriced Polymarket temperature markets using live METAR observations and Open-Meteo forecasts with a Gaussian probability model.

Paper-trading bot that bets NO on overpriced temperature markets using METAR data and Gaussian probability.

Automated bot trading Polymarket weather markets using NWS forecast data and Kelly sizing.

Bets NO on overpriced Polymarket temperature markets using live METAR data and Gaussian probability model

Exploits mispriced weather event markets by comparing Polymarket odds with NOAA forecasts.

Exploits weather forecast data asymmetries on Polymarket weather event markets.

A paper-trading bot that bets the NO side on overpriced temperature markets using a Gaussian probability model.

Paper trading bot for Polymarket weather temperature markets using statistical weather modeling (proof of concept)

Paper-trading bot betting NO on overpriced temperature markets using METAR observations and Open-Meteo forecasts with Gaussian model.

Automated paper-trading bot that bets NO on overpriced Polymarket temperature markets using METAR and Open-Meteo data.

Systematically bet the NO side of Polymarket temperature markets that are overpriced relative to live METAR weather observations and calibrated probabilistic forecasts.

Automated paper-trading bot that bets the NO side of overpriced Polymarket temperature markets using live METAR observations and Open-Meteo forecasts with a Gaussian probability model.

Automated paper-trading bot betting the NO side of overpriced Polymarket temperature markets using METAR data and Gaussian modeling

Automated paper-trading bot that bets the NO side of overpriced temperature markets using METAR observations and Open-Meteo forecasts with a Gaussian model.

An extensive weather-based trading bot leveraging a large dataset (approx. 490 MB) of historical weather and market data to identify predictive patterns.

Systematically sell the YES side (buy NO) of Polymarket temperature markets when live METAR observations and probabilistic weather forecasts indicate the market is overpricing the event's likelihood.

Paper-trading bot that bets NO on overpriced Polymarket temperature markets using METAR observations and Open-Meteo forecasts with a Gaussian model

Exploits systematic edge in Polymarket daily weather bucket markets across three temperature categories using live METAR observations and Open-Meteo forecasts.

Paper-trading bot exploiting overpriced NO sides of temperature markets using METAR data and Gaussian probability models.

Systematically sell overpriced YES probabilities in Polymarket temperature markets by comparing market-implied probabilities against METAR observations and Open-Meteo forecast distributions.

Bet the NO side of Polymarket temperature markets when market-implied probabilities are systematically higher than those derived from live METAR observations and Open-Meteo forecasts via a Gaussian probability model.

Bet the NO side of temperature-outcome markets on Polymarket by identifying markets priced above the Gaussian-model probability derived from live METAR and Open-Meteo forecast data.

Systematically sell the NO side of overpriced Polymarket temperature markets by using live METAR observations and Open-Meteo probabilistic forecasts to identify when market-implied probabilities exceed physically-modeled likelihoods.

Sells the NO side of overpriced Polymarket temperature markets by comparing market-implied probabilities against a Gaussian model built from live METAR observations and Open-Meteo forecast data.

Bets NO on overpriced Polymarket temperature markets using METAR and Open-Meteo forecasts with a Gaussian model.

Paper-trading bot that bets NO on overpriced Polymarket temperature markets using METAR and Gaussian model.

Paper-trading bot that bets the NO side of overpriced temperature markets using METAR data and Open-Meteo forecasts with a Gaussian probability model.

Paper-trades the NO side of overpriced Polymarket temperature markets using live METAR data and Gaussian probability models.

Paper-trades the NO side of overpriced Polymarket temperature markets using METAR and Open-Meteo data with a Gaussian probability model

Automated paper-trading bot that bets the NO side of overpriced Polymarket temperature markets using METAR observations and Open-Meteo forecasts with a Gaussian model.

Automated paper-trading bot that bets the NO side of overpriced Polymarket temperature markets using live METAR observations and Open-Meteo forecasts.

Automated paper-trading bot that bets NO side on overpriced temperature markets using METAR and Open-Meteo forecasts with Gaussian probability model

A production-ready Python bot exploiting systematic edge in Polymarket's daily weather bucket markets across three categories (high, low, precipitation) using weather forecast vs market price discrepancies.

Bet the NO side of Polymarket temperature markets when market-implied probabilities exceed those derived from live METAR observations and Open-Meteo forecasts via a Gaussian probability model.

Paper-trading bot betting NO side of overpriced temperature markets using live METAR observations

Paper-trades the NO side of overpriced Polymarket temperature markets using live METAR and forecast data with a Gaussian probability model.

Automated quantitative analysis bot that combines weather data signals with market pricing to find edges in Polymarket weather-related prediction markets.

Automates Polymarket weather trades using NWS forecast scans and Kelly criterion sizing for temperature market edge.

Proof-of-concept paper-trading system targeting Polymarket weather temperature markets, likely exploiting forecast-vs-market-price divergence.

Generic bot that bets the NO side of overpriced Polymarket temperature markets.

A Polymarket weather bot for trading temperature prediction markets

A newly created, unspecified Python bot for Polymarket weather markets.

Paper-trading bot that bets NO on overpriced Polymarket temperature markets using METAR and forecast data.