°Fahrenheit

Fahrenheit is a quantitative fund focused on exploiting inefficiencies in weather prediction markets where groupthink, emotional bias, and inconsistent forecasting often lead to mispriced contracts. Rather than treating weather markets and their underlying contracts as speculative bets, Fahrenheit applies a disciplined, algorithmic approach. The strategy blends real-time meteorological data, government information, market probabilities, and behavioral analysis to identify contracts where retail sentiment has diverged from rational probabilities. The fund targets a niche, retail-heavy market that remains largely illiquid and ignored by institutional capital. This creates persistent inefficiencies fueled by overconfidence in forecasts, herd behavior, and reactive market making. Fahrenheit is built to identify and trade these anomalies with high conviction. At its core, the strategy is about capturing alpha from collective error. In a world increasingly driven by data yet still vulnerable to bias, weather offers a unique environment where prediction meets psychology and mispricing becomes opportunity. Fahrenheit operates with the belief that prediction markets are often wrong, and that even in something as universal as the weather, there’s room for an edge.