Machine Learning for Algorithmic Trading

Learn how to use machine learning to design and back-test automated trading strategies for real-world markets using pandas, TA-Lib, scikit-learn, and more. This book covers everything from idea to execution, teaching you how to research and evaluate alpha factors, optimize portfolio risk and performance, and create machine learning models for trading decisions. With real-world examples and cutting-edge research, this book is perfect for data analysts, scientists, portfolio managers, and Python developers looking to gain hands-on knowledge in machine learning for trading.