ai-agent

AgriQuant-AI

Name: AgriQuant-AI
Author: AgriQuantAI

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

836 stars21 forksPythonUpdated 5/26/2026100% free · open source

What it does

AgriQuant-AI predicts price moves 48-72 hours early for agricultural commodities like OJ, Coffee, and Wheat using AI-powered weather intelligence and satellite data

Install / run

git clone https://github.com/AgriQuantAI/AgriQuant-AI && cd AgriQuant-AI && pip install -r requirements.txt

When to use it

•You're a trader looking to make informed decisions about agricultural commodity futures
•You need to predict price fluctuations for commodities like Corn or Sugar
•You want to stay ahead of market trends with early warnings of price moves

Quick start

1Clone the AgriQuant-AI repository and navigate to the project directory
2Install the required dependencies by running `pip install -r requirements.txt`
3Configure your satellite data sources by editing the `config.py` file
4Run the prediction model using `python predict.py` with the desired commodity and time frame
5Review the predicted price moves in the generated output file

Ready-to-paste prompt

python predict.py --commodity OJ --timeframe 48h --satellite_data_path ./satellite_data

Heads up: You need to obtain and configure API keys for accessing satellite data and Claude Sonnet models, which require separate setup and may incur additional costs

Saves to your device