AI Trading: Forex and Stock Market: Algorithmic & Automated Trading with Python, ML Models, and Real-World Backtests

AI Trading: Forex and Stock Market — Practical, reproducible workflows for building real-world algorithmic trading systems with Python and modern AI. Learn step-by-step ETL patterns to convert raw market feeds into point-in-time features, model blueprints (from tree ensembles to transformers), and honest event-driven backtesting that factors slippage, transaction costs and capacity. Packed with runnable notebooks, manifest.json run-configs, and case studies, this book teaches reproducible experiment tracking, model cards, and production-ready deployment practices so traders and quant engineers can move confidently from prototype to audited live deployment. Whether you're an advanced retail trader, quant researcher, or fintech engineer, you'll get actionable code, trade-ledger templates, and monitoring checklists that prioritize safety, governance, and ROI. Read this book to cut setup time, avoid common leakage mistakes, and build AI strategies that survive real markets. Includes downloadable datasets, Docker instructions, and a reproducibility appendix.