Predictive models to extract signals from market and alternative data for systematic trading strategies with Python, 2nd Edition
Description
This thoroughly revised and expanded second edition demonstrates on over 800 pages how machine learning can add value to algorithmic trading in a practical yet comprehensive way. It has four parts that cover how to work with a diverse set of market, fundamental, and alternative data sources, design ML solutions for real-world trading ...
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‘Machine Learning for Algorithmic Trading - Jansen, Stefan’.
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