Publisher's Synopsis
Welcome to the future of trading - where human instinct meets machine precision.
AI Trading 2025 is your definitive guide to mastering algorithmic strategy in the age of artificial intelligence. Whether you're a retail trader, quant enthusiast, or tech-savvy investor, this book delivers the core principles, tools, and frameworks you need to compete in tomorrow's markets - today.
Inside, you'll discover:
How to build and train machine learning models for trading
Real-world Python examples for algorithmic execution
Backtesting frameworks using historical data and live simulations
Strategy design techniques for momentum, mean reversion, and earnings plays
How to leverage LLMs and neural networks for market prediction
Risk management and position sizing with AI-enhanced insights
API integration for live trading platforms like IBKR and Alpaca
Built for those ready to dominate the data-driven frontier of finance, this book demystifies AI in trading - giving you both theory and executable code to create an unfair advantage in any market.
2025 belongs to the strategic, the technical, and the automated. The future is coded.
