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OverviewReactive PublishingGlobal markets are connected, and the best opportunities are hidden in the cracks between them. Systematic Macro & Cross-Asset AI Strategies is your complete playbook for designing robust, adaptive strategies that trade currencies, interest rates, and commodities with confidence. This book bridges AI, data science, and macro trading, showing you how to engineer models that thrive in complex, interconnected markets. Learn to detect global regime shifts, model cross-asset relationships, and deploy systematic strategies that capture alpha across the macro landscape. Inside, you'll master: AI-Driven Macro Signals, Extract predictive features from macroeconomic data, yield curves, and geopolitical events. Cross-Asset Models, Build correlations and co-integration strategies that link FX, rates, and commodities. Systematic Global Macro Frameworks, Design event-driven, seasonal, and factor-based systems with automated execution. Volatility and Risk Modeling, Hedge cross-asset exposures with regime-aware position sizing. Python Implementation, End-to-end code for backtesting, portfolio construction, and live signal generation. Whether you are a quant researcher, portfolio manager, or independent macro trader, this guide will help you create scalable, data-driven strategies that uncover hidden opportunities across asset classes-transforming global complexity into systematic profit. Full Product DetailsAuthor: Danny Munrow , James PrestonPublisher: Independently Published Imprint: Independently Published Dimensions: Width: 15.20cm , Height: 3.30cm , Length: 22.90cm Weight: 0.844kg ISBN: 9798265992772Pages: 642 Publication Date: 18 September 2025 Audience: General/trade , General Format: Paperback Publisher's Status: Active Availability: Available To Order We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately. Table of ContentsReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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