Architecting AI Forex Trading Systems: Designing and Building an AI Day Trader System for Currency Markets (Paperback) (ISBN-13: 9798250933865)

Artificial intelligence has made it easier than ever to build predictive trading models. Designing a system that can operate in live foreign exchange markets is a different challenge.

Architecting AI Forex Trading Systems examines the engineering, data, and market-structure considerations involved in building AI-driven currency trading systems for real-world deployment. Rather than concentrating only on machine learning algorithms, the book follows the complete architecture of an institutional-style trading platform, where prediction, execution, risk management, and operational reliability are treated as interconnected components.

The book discusses topics including:

- FX market microstructure and why executable prices differ from theoretical prices

- Multi-source market data pipelines, synchronization, validation, and data quality

- Feature engineering for changing market regimes

- AI model architectures for forecasting and execution

- Walk-forward testing, robustness analysis, and realistic validation techniques

- Risk budgeting, exposure management, and position sizing frameworks

- Portfolio construction across multiple currency pairs

- Execution algorithms, transaction costs, slippage, and order routing

- Model monitoring, drift detection, governance, and operational controls

- Production deployment, security, resilience, failover design, and long-term system maintenance

Throughout the book, technical concepts are explained using practical market scenarios that illustrate how decisions made during research can influence live trading behavior. The discussion extends beyond model accuracy to include data integrity, execution quality, infrastructure design, and operational processes that become increasingly important when moving from experimentation to production.

Instead of presenting artificial intelligence as an isolated forecasting tool, the book treats it as one component within a broader engineering framework that includes market data, execution, risk controls, monitoring, and system governance.

This book is intended for quantitative traders, software engineers, machine learning practitioners, systematic trading researchers, fintech professionals, and readers interested in the practical architecture of AI-based foreign exchange trading systems. It assumes an interest in systematic trading and focuses on design principles, engineering considerations, and implementation concepts rather than providing trading signals or investment recommendations.