The Automated Trading Playbook: How to Use Artificial Intelligence to Trade Smarter, Not Harder

The Automated Trading Playbook by Nathan Cole Reeve presents a practical framework for introducing artificial intelligence into trading systems. It discusses machine learning for price prediction and the process of designing, backtesting and deploying automated strategies. Data quality, transaction slippage, changing market regimes and strategy overfitting form part of its focus on operational resilience. The book also considers drawdowns, execution engines and human oversight of algorithmic models. It suits beginners and independent developers seeking a structured introduction to automation with an emphasis on validation and risk control. It pairs well with our guides on trading systems and risk management.