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Iron Condors with Python

Build Profitable Options Trading Strategies with Code

Jezik EngleskiEngleski
Knjiga Meki uvez
Knjiga Iron Condors with Python Reactive Publishing
Libristo kod: 52822061
Nakladnici Independently published, ožujak 2025
Reactive Publishing Unlock Consistent Income with Iron Condors - and Master the Code That Powers The... Cijeli opis
? points 66 b
27.25
Vanjske zalihe Šaljemo za 10-18 dana

30 dana za povrat kupljenih proizvoda

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.

Stop guessing. Start engineering your trades.



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Informacije o knjizi

Puni naziv Iron Condors with Python
Jezik Engleski
Uvez Knjiga - Meki uvez
Datum izdanja 2025
Broj stranica 454
EAN 9798316291137
Libristo kod 52822061
Težina 546
Dimenzije 152 x 229 x 29
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