Iron Condors with Python: Build Profitable Options Trading Strategies with Code: A Step-by-Step Guide for Building,

Reactive Publishing
Unlock Consistent Income with Iron Condors — and Master the Code That Powers Them

Iron condors are one of the most powerful and consistent strategies in options trading — but most traders never learn how to fully automate, backtest, or optimize them.

In Iron Condors with Python, you'll learn how to design, test, and execute high-probability iron condor trades using real Python code. Whether you're a retail trader looking to create passive income or a data-driven investor seeking delta-neutral exposure, this book gives you the tools to trade smarter in any market condition.

Inside you'll discover:
A step-by-step breakdown of how iron condors work (and why they outperform over time)

How to code and backtest your own iron condor strategies using Python, Pandas, and options APIs

Real-world examples of risk-reward optimization, IV rank filtering, and earnings season tactics

How to automate trade execution using Interactive Brokers or TDAmeritrade

Risk management, position sizing, and how to avoid common retail mistakes

Bonus: How to use machine learning signals to enhance your strategy

This isn’t just theory — it’s a hands-on, code-first guide for serious traders who want to own their edge.

Whether you're trading SPX, QQQ, or single-name equities, this book will teach you how to confidently deploy iron condors with precision, scalability, and tech-powered discipline.