Machine Learning for Algorithmic Trading: Predictive models to extract signals from market and alternative data for systematic trading strategies with Python
Machine Learning for Algorithmic Trading examines how predictive models can extract useful signals from market and alternative data. Stefan Jansen presents the subject through the lens of systematic trading strategies, with Python providing the practical foundation for exploring machine learning in algorithmic finance.
About This Book
Machine Learning for Algorithmic Trading introduces the use of predictive models in systematic trading strategies.
The book focuses on extracting signals from market data and alternative data for algorithmic decision-making.
Python features prominently as a practical tool for developing and applying machine learning approaches to trading.
Written by Stefan Jansen, it connects machine learning concepts with the analytical demands of modern financial markets.
Reviews
No reviews yet. Be the first to review this book!