Artificial intelligence is reshaping financial markets, but most books drown you in hype or math. This guide cuts through both.

Mastering AI Trading Strategies teaches you how algorithmic trading systems really work – from simple rule‑based bots to machine learning models that analyze news and price patterns. You will learn the mechanics of backtesting, the dangers of overfitting, and why most active strategies lose money. Realism is the foundation: every technique is presented alongside its limitations and risks. No promises of passive income. No guarantees.

The book walks you step by step through building, testing, and evaluating automated strategies using open‑source tools and freely available data. You will discover how slippage, liquidity, and broker fees erode theoretical returns, and why risk management matters more than any signal. Practical 'Try This' boxes and 'Risk Check' callouts keep you grounded.

Whether you are a curious investor, a developer, or a finance professional, this book gives you the honest, actionable knowledge you need to understand – not just use – AI in trading. Part of The AI Trading Library.