Artificial intelligence is reshaping the stock market, but separating genuine opportunity from hype requires a clear-eyed understanding of how these systems actually work. In this book, you will learn what AI can and cannot do in trading—from pattern recognition and data processing to the cold logic of execution. You will explore the architecture of trading bots, the role of machine learning in strategy development, and the critical importance of backtesting, risk management, and psychological discipline. Most importantly, you will confront the hard truths: most algorithmic traders lose money, past performance never guarantees future results, and leverage can destroy capital in moments. This is not a get-rich-quick manual. It is a realistic guide to building your own edge by understanding the tools, the risks, and the market itself. Whether you are a curious investor or a developer exploring automated strategies, this book will help you ask the right questions and avoid the most common pitfalls. Part of The AI Trading Library.