Machine Learning for Algorithmic Trading: Predictive models to extract signals from market and alternative data for systematic trading strategies with Python
Stefan Jansen’s guide explores how machine learning can support algorithmic trading through predictive models, market data, and alternative data. With Python at its core, it focuses on extracting signals and developing systematic trading strategies for readers interested in data-driven approaches to financial markets.
About This Book
Machine Learning for Algorithmic Trading examines the use of machine learning in systematic trading.
The book focuses on predictive models designed to extract signals from market and alternative data.
Python is part of the stated approach, supporting the development of data-driven trading strategies.
It is intended for readers interested in the intersection of machine learning, financial markets, and algorithmic trading.
Reviews
No reviews yet. Be the first to review this book!