Advanced Options Engineering with Python: Quantitative Strategies for Dynamic Hedging, Volatility Trading, and Risk Control

By Hayden Van Der Post

Reactive Publishing

Advanced Options Engineering with Python: Quantitative Strategies for Dynamic Hedging, Volatility Trading, and Risk Control by Hayden Van Der Post delivers the definitive guide to mastering the next generation of derivatives modeling and risk architecture.

This book bridges the worlds of quantitative finance and real-world trading execution, showing you how to build, test, and deploy advanced Python-based frameworks for managing volatility, hedging dynamically, and engineering payoff structures that adapt to market behavior.

Inside, you'll learn how to:

Design algorithmic hedging systems that respond to changing volatility regimes

Implement delta, gamma, and vega neutral strategies in live trading environments

Apply quantitative models for volatility surface calibration and term structure analysis

Engineer Python-based risk controls for portfolio stability and tail protection

Build end-to-end volatility arbitrage and dispersion trading frameworks

Backtest strategies with robust statistical rigor and real market data

Written for professional traders, quantitative analysts, and risk engineers, this book blends mathematical depth with practical code and trading intuition. Each chapter reveals how to combine financial theory with Python automation to build adaptable, data-driven trading systems designed for today's fast-moving derivatives markets.

Whether you manage complex portfolios or trade volatility as a standalone asset, Advanced Options Engineering with Python is your blueprint for mastering the edge where quantitative precision meets trading execution.

• Format: Paperback
• Language: English
• ISBN: B0FV3X1H71
• ISBN13: 9798268757583
• Release Date: October 2025
• Publisher: Independently Published
• Length: 572 Pages
• Weight: 1.66 lbs.
• Dimensions: 1.2" x 6.0" x 9.0"