Lithium commodity market analysis and trading strategies - Python
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Updated
May 16, 2026 - Jupyter Notebook
Lithium commodity market analysis and trading strategies - Python
A Python application for predicting commodity prices (e.g., Pulses, Bread) based on state, city, year, and month using a Linear Regression model. Trained on over 1 million government dataset entries, featuring efficient data processing and prediction capabilities.
Commodities Prices API provided by Finnworlds is a data delivery format that allows you to get instantly real-time and historical commodities prices data.
Historical commodity price data in daily and monthly intervals, going back decades.
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