Unlock the potential of data-driven trading—without the hype. In Understanding Algorithmic Trading, Victor Adeyemi Sloane demystifies how artificial intelligence and automated systems are used in financial markets, offering a clear, honest guide for anyone curious about this transformative field. From decoding market data to designing, backtesting, and deploying your own algorithms, this book walks you through the entire pipeline with a focus on what actually works—and what doesn't. You'll learn to separate signal from noise, avoid common pitfalls like overfitting and survivorship bias, and understand the real risks of leverage, slippage, and black-box systems. Whether you're a developer, a quantitative enthusiast, or a seasoned trader exploring AI, you'll gain the practical knowledge to build robust strategies and navigate markets with eyes wide open. No get-rich-quick promises—just rigorous, accessible instruction grounded in reality. Part of The AI Trading Library.