Algorithmic Trading Made Simple: Real Strategies for AI-Driven Trading

Get past the hype and into the reality of algorithmic trading. This book strips away marketing myths, showing you exactly how AI, machine learning, and automated systems are used in financial markets—and what they can't do. You'll learn step-by-step how to develop, backtest, and evaluate simple trading strategies, from trend following to mean reversion, without needing a PhD. We focus on practical implementation, honest risk assessment, and the common pitfalls that cause most algorithmic traders to lose money. Every chapter comes with clear explanations and 'Risk Check' boxes to ground your understanding. No promises of easy profits or guaranteed returns; just a solid foundation for anyone curious about the intersection of AI and trading. Whether you're a developer, investor, or lifelong learner, this book equips you with the realistic perspective needed to navigate the automated trading landscape safely. Part of The AI Trading Library.

About the author

Victor Adeyemi Sloane writes for The AI Trading Library.

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E-bog: 30. september 2026