Imagine having a tireless assistant that scans global markets, executes trades based on proven algorithms, and never lets emotion cloud its judgment. That is the promise of AI-powered trading automation. But behind the hype lies a world of complexity, risk, and hard-won knowledge. In Mastering AI Stock Trading, Victor Adeyemi Sloane cuts through the buzzwords to deliver a clear-eyed, practical education. This book is not a get-rich-quick manual; it is a guide for serious investors who want to understand how machine learning, data pipelines, and automated bots actually work. You will learn to design, backtest, and deploy a trading system safely, while respecting the harsh realities: most algorithmic traders lose money, and no strategy guarantees success. Each chapter builds your knowledge from the ground up, covering everything from gathering clean data to managing risk when the market turns. Whether you are a self-directed investor curious about code or a professional seeking a realistic edge, this book will help you separate myth from fact and make informed decisions. Part of The AI Trading Library.
About the author
Victor Adeyemi Sloane writes for The AI Trading Library.
