AgriQuantAI /AgriQuant-AI
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
Python617
agricultural-commodities 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
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
Project analyzing the relationship between El Niño weather patterns and cocoa futures market volatility using NASA satellite data and financial market analysis.
A rigorous, reproducible benchmark of regime-switching models for agricultural commodity prices — from Hamilton (1989) MS-AR to HMM-LSTM hybrids to zero-shot Chronos. Walk-forward backtesting, statistical significance testing, three commodities, four horizons.