{"repo":"AgriQuantAI/AgriQuant-AI","free":true,"listed":false,"github":"https://github.com/AgriQuantAI/AgriQuant-AI","clone":"git clone https://github.com/AgriQuantAI/AgriQuant-AI.git","description":"AI-powered weather intelligence for agricultural commodity futures. Predicts price moves 48-72 hours early across OJ, Coffee, Cocoa, Sugar, Corn and Wheat using Claude Sonnet + satellite data","language":"Python","stars":758,"topics":["agricultural-commodities","claude-ai","futures-trading","machine-learning","noaa","python","quantitative-finance","satellite-data","timescaledb","weather-prediction"],"license":null,"category":"trading","readme_excerpt":"AgriQuant AI AI-driven weather intelligence for agricultural commodity futures. AgriQuant AI analyzes satellite weather data and 40 years of price patterns to predict agricultural commodity moves 48–72 hours before traditional analysts react. Built on Claude Sonnet, NOAA real-time feeds, and a multi-spectral satellite pipeline covering six global markets. --- Overview AgriQuant AI monitors weather events across six agricultural commodity markets and generates probabilistic price impact signals before official USDA and agency reports are published. The system processes NOAA weather forecasts, satellite imagery, and market data continuously, cross-referencing against a 40-year historical database of weather-driven commodity price moves. Backtest Performance (2023–2025): - +223% total return (2.5x leveraged futures strategy) - 70% win rate across 23 trades - 2.6:1 win/loss ratio - 1.8 Sharpe ratio - -21% max drawdown --- Markets Covered Commodity Ticker Exchange Region Primary Risk ----------- -------- ---------- -------- -------------- Orange Juice FCOJ-A ICE Florida, USA Freeze, hurricane, disease Coffee (Arabica) KC ICE Minas Gerais, Brazil Frost, drought Cocoa CC ICE Ghana / Ivory Coast Drought, Harmattan winds Sugar #11 SB ICE Brazil / India Monsoon, drought Corn ZC CME US Midwest Drought, derecho, frost Wheat ZW CME Great Plains Drought, Black Sea risk --- System Architecture --- Key Modules File Description ------ ------------- weather collector.py NOAA + satellite data i","default_branch":null,"files":null,"tree":[],"storefront":"/r/AgriQuantAI","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/AgriQuantAI/AgriQuant-AI/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}