Artificial Intelligence in Finance: A Python-Based Guide

Artificial Intelligence in Finance: A Python-Based Guide by Yves Hilpisch offers a comprehensive look at how artificial intelligence (AI) can transform financial markets and trading. This book explores the foundations of machine learning, deep learning, and reinforcement learning as applied in finance, emphasizing the potential of these tools to detect market inefficiencies and drive algorithmic trading. Hilpisch uses Python to teach readers the technicalities behind building, training, and deploying AI-powered trading bots. The book covers essential finance concepts, explores normative theories, and delves into machine learning methods, from basic supervised learning to advanced neural networks and deep learning techniques. Readers are guided through building complex trading models, exploring statistical inefficiencies, and constructing financial backtesting environments. A must-read for financial technologists, this book presents Hilpisch’s personal insights, industry practices, and Python-based solutions, offering a clear roadmap to harnessing AI in the finance sector.