The stock market has always been driven by information — but today, the information is being generated, analyzed, and acted upon by machines faster than any human can follow. This book pulls back the curtain on the algorithms, data pipelines, and automated systems reshaping modern markets. Written for anyone who wants to understand what's really happening when a bot places a trade, it explains how machine learning models are trained on historical price and news data, how they make probabilistic predictions, and why most still lose money over time. You'll learn the difference between backtesting and real-time success, the hidden costs of slippage and latency, and why 'set it and forget it' trading bots are a dangerous fantasy. With clear explanations and no jargon, this book shows you how to think critically about AI in finance — whether you're a curious observer or considering using algorithmic tools yourself. Above all, it emphasizes the single most important truth: no algorithm, no matter how sophisticated, can predict the future. Part of The AI Trading Library.