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Artificial intelligence promises to transform investing, but how much of the hype is real? In this clear, grounded guide, Victor Adeyemi Sloane demystifies the technology behind AI trading signals and systems. You'll learn what machine learning can and cannot do for your portfolio, how to build basic prediction models, and how to turn raw signals into a disciplined, risk-aware trading system. No get-rich-quick promises here—just an honest exploration of backtesting pitfalls, overfitting traps, and the hard realities of live markets. Whether you are curious about algorithmic trading or ready to experiment with your own bots, this book gives you the conceptual foundation to separate substance from marketing. Warning: most active traders lose money. This book will not guarantee profits, but it will help you avoid the worst mistakes. By the end, you will understand why a calm, systematic approach matters more than any AI algorithm. Part of The AI Trading Library.
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