Machine Learning for Algorithmic Trading. Predictive models to extract signals from market and alternative data for systematic… (Stefan Jansen) (z-library.sk, 1lib.sk, z-lib.sk)

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 challenges, and manage the strategy development process from idea to backtesting and evaluation.