agricultural-commodities

Here are 3 public repositories matching this topic...

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

python machine-learning noaa quantitative-finance satellite-data weather-prediction timescaledb futures-trading claude-ai agricultural-commodities

Updated May 26, 2026
Python

jak-weston / Cocoa-Futures-Analysis

Star

Project analyzing the relationship between El Niño weather patterns and cocoa futures market volatility using NASA satellite data and financial market analysis.

python data-science machine-learning plotly data-visualization financial-analysis time-series-analysis nasa-power climate-analysis commodity-trading el-nino market-prediction market-volatility agricultural-commodities

Updated May 14, 2025
Jupyter Notebook

prochalo / commodity-regime-bench

Star

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.

benchmark machine-learning deep-learning time-series econometrics hidden-markov-model backtesting markov-switching time-series-forecasting regime-switching statistical-testing foundation-models agricultural-commodities commodity-prices

Updated May 14, 2026
Python

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