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Code for Machine Learning for Algorithmic Trading, 2nd edition.
What it does
This repository provides extensive Jupyter notebooks and code examples for the book 'Machine Learning for Algorithmic Trading', demonstrating practical applications of ML techniques in trading strategies. It is valuable for anyone interested in applying machine learning to financial markets.
Why it matters: Dive into the world of ML-driven trading strategies with over 150 Jupyter notebooks and detailed explanations from 'Machine Learning for Algorithmic Trading'. #MLforTrading
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Contents
Ali NematiWritten by Ali
