The Broken Wing Strategy: Python-Based Asymmetric Option Structures for Risk Control: Advanced Income and Hedging Tactics Using Volatility Skew, Proba
In The Broken Wing Strategy, Hayden Van Der Post delivers a masterclass in precision risk engineering, showing how to design, model, and automate asymmetric option structures that generate consistent yield while minimizing exposure to tail risk.
This book goes beyond traditional spreads and condors, introducing the broken wing as a mathematically elegant way to harvest premium in uneven volatility conditions. Using Python, you'll learn how to simulate, test, and optimize these strategies across real historical data, discovering how to adapt positioning to dynamic volatility skews, shifting deltas, and changing macro environments.
Inside, you'll learn how to:
Build and backtest broken wing and ratio spreads programmatically in Python
Model volatility skew and implied distribution asymmetry
Use Greeks sensitivity analysis to balance premium income with directional bias
Engineer adaptive hedges for non-linear exposures
Construct risk-controlled yield systems that perform across cycles
Written for quantitative traders, portfolio engineers, and advanced retail strategists, this book bridges practical options strategy with modern quantitative finance. Every concept is backed by executable code, risk analytics, and step-by-step examples that turn theory into implementation.
Whether you're refining your edge or building systematic income models, The Broken Wing Strategy will teach you how to extract returns from the market's asymmetry, one carefully designed spread at a time.
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