Regime-Driven Systematic Strategies

Regime-Driven Systematic Strategies explores how global macro regimes shape the performance of systematic trading models. Focusing on rate volatility cycles, inflation dynamics, and risk sentiment, this book illustrates how regime filters enhance signal stability, reduce noise, and improve allocation decisions across asset classes. Using historical case studies and structured frameworks, readers learn how to map central bank divergence and convergence cycles, track QT/QE liquidity shifts, and anchor strategies to changing volatility surfaces.
The core insight is that systematic strategies must be conditioned on macro states rather than treated as static, context-free rule sets. The text shows how macro regimes emerge, persist, and break; how to identify transitions; and how to build time-varying signals around interest rate expectations, term premium behavior, and global funding stresses. Detailed examples demonstrate how ECB-Fed differentials influence FX and rates, how inflation cycles change performance attribution, and how liquidity regimes reshape risk premia.
For discretionary and systematic traders, quantitative researchers, and macro portfolio managers, this book delivers a practical framework for integrating macro regime awareness into systematic design. It bridges the gap between macro storytelling and executable models, providing a modern handbook for navigating a world defined by shifting policy regimes, structural volatility, and evolving cross-market linkages.

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