Hands-On Machine Learning for Algorithmic Trading: Design and implement investment strategies based on smart algorithms that learn from data using Python
Hands-On Machine Learning for Algorithmic Trading explores the design and implementation of investment strategies that learn from data. Stefan Jansen presents a practical focus on using Python to connect machine learning, algorithmic methods, and financial strategy development.
About This Book
Hands-On Machine Learning for Algorithmic Trading introduces the use of machine learning in algorithmic trading.
The book focuses on designing and implementing investment strategies that learn from data.
Python is used as the practical programming environment for working with these strategies.
It is aimed at readers interested in combining finance, programming, and data-driven algorithms.
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