austinsw/Machine-Learning-on-Commodity-Price-Forecast-2022

Machine Learning project with focuses on using numerous regression methods to predict commodity price movement.

21
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Experimental

This project helps traders and financial analysts predict the future prices of key commodities like oil, gold, and copper. It takes historical price data from online sources and uses various machine learning models to generate forecasts for 4 or 12 months ahead. The end-user can interact with a web application to select a commodity and forecast duration, viewing predicted price movements.

No commits in the last 6 months.

Use this if you are a trader or analyst interested in exploring a basic machine learning approach to forecast commodity prices for short to medium-term outlooks.

Not ideal if you require highly accurate, production-ready price predictions for critical investment decisions, as the current models show limited predictive power.

commodity-trading financial-forecasting market-analysis price-prediction
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 4 / 25
Maturity 8 / 25
Community 9 / 25

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Last pushed

Apr 28, 2022

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