Machine Learning for Algorithmic Trading - Second Edition

Key Features

• Design, train, and evaluate machine learning algorithms that underpin automated trading strategies
• Create a research and strategy development process to apply predictive modeling to trading decisions
• Leverage NLP and deep learning to extract tradeable signals from market and alternative data

Who this book is for

If you are a data analyst, data scientist, Python developer, investment analyst, or portfolio manager interested in getting hands-on machine learning knowledge for trading, this book is for you. This book is for you if you want to learn how to extract value from a diverse set of data sources using machine learning to design your own systematic trading strategies.

Some understanding of Python and machine learning techniques is required.