Architecting AI Forex Trading Systems (Paperback)
Idioma: inglés
Editorial: Independently Published, 2026
- Tapa blanda
- Nuevo
Librería: Grand Eagle Retail, Bensenville, IL, Estados Unidos de AmericaGrand Eagle Retail
Vendedor de IberLibro desde 12 de octubre de 2005
Condición: Nuevo
EUR 32,78
Cantidad disponible: 1 disponible
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Paperback. Artificial intelligence is changing how traders analyze financial markets, but most discussions about AI in trading stop at models or predictions. The real challenge is not simply building a machine learning model-it is designing a complete trading system that can operate within the realities of the foreign exchange market.Architecting AI Forex Trading Systems explores how artificial intelligence, data engineering, and systematic strategy design can be combined to build structured trading frameworks for modern currency markets. Rather than presenting shortcuts or "magic algorithms," this book examines the architecture required to transform data into research, research into signals, and signals into executable trades.Foreign exchange markets operate as a complex global network of liquidity providers, brokers, data feeds, and execution venues. Understanding that infrastructure is essential before any AI trading system can be designed responsibly. This book explains how trading systems interact with market microstructure, liquidity conditions, transaction costs, and execution constraints that influence real trading outcomes.Inside this book, readers will explore topics including: - Designing an AI day trader system for currency markets- Building structured AI trading systems using modern data pipelines- Feature engineering techniques for forex price and macroeconomic data- Machine learning model architectures for currency forecasting and signal generation- Walk-forward testing and validation methods for algorithmic trading strategies- Risk budgeting and position sizing frameworks for systematic trading- Portfolio construction across multiple currency pairs- Execution design, slippage awareness, and order routing considerations- Monitoring, model drift detection, and system governance for live trading environments- Deploying AI trading systems with reliability, security, and operational disciplineThe book treats trading systems as engineered infrastructures rather than collections of indicators. Each component-from data ingestion to execution-is examined as part of a broader architecture that determines whether a strategy remains viable once it leaves the research environment.This volume is part of the AI Architecture for Forex Trading series, which explores how artificial intelligence technologies can support research workflows, systematic trading design, and data-driven decision processes in currency markets.Architecting AI Forex Trading Systems is intended for traders, developers, quantitative researchers, and technically curious investors who want to understand how AI can be integrated into structured trading systems. The goal is not to promise results, but to provide a clear framework for thinking about how modern technology interacts with real financial markets.Whether you are exploring AI trading systems, learning about AI for day trading, or studying how machine learning can be applied to forex markets, this book provides a structured perspective on designing and building modern trading architectures. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…
N° de ref. del artículo 9798250933865
- Título
- Architecting AI Forex Trading Systems (Paperback)
- Autor
- Konstantin Titov
- Editorial
- Independently Published
- Año de publicación
- 2026
- Estado
- new
- Encuadernación
- Paperback
- Idioma
- inglés
- ISBN 13
- 9798250933865
- Serie
- Libro 2 de 2: AI Architecture for Forex Trading
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.
“Sinopsis” puede pertenecer a otra edición de este título.
Grand Eagle Retail
Bensenville, IL, Estados Unidos de America
Vendedor de IberLibro desde 12 de octubre de 2005
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