£45.14

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£45 today · cheaper than every other day in the last 3 months

Quantitative Trading Systems: How to Build Automated Options and Volatility Strategies in Python: A Comprehensive Guide

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£45.14 £42.88 £43.79 £44.69 £45.59 £46.49 £47.40 27 July 2026 10 August 2026 25 August 2026 09 September 2026 24 September 2026
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Price distribution over 60 days • 1 price levels

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60 days 0 15 30 45 60 £45 Days at Price

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Most common price: £45 (60 days, 100.0%)

Price range: £45 - £45

Price levels: 1 different prices over 60 days

Description

Reactive Publishing In Quantitative Trading Systems, Hayden Van Der Post, MBA, BA, unveils a complete blueprint for building automated options and volatility strategies that perform in the real world. This book isn’t theory — it’s an engineering manual for traders who demand measurable edge, systematic execution, and market mastery. Inside, you’ll discover: How to design, code, and deploy automated options strategies using Python. Advanced volatility modeling techniques for trading spreads, straddles, and hedges. The mathematics behind robust backtesting — and how to avoid common data science traps. Dynamic position sizing, risk engines, and volatility arbitrage frameworks. Professional-grade systems architecture for building scalable, autonomous strategies. Whether you’re an ambitious trader, data scientist, or engineer, Quantitative Trading Systems will equip you to think algorithmically, execute flawlessly, and create wealth systematically. Why This Book? Written by a seasoned financial strategist and entrepreneur. Filled with hands-on Python code examples ready for immediate application. Focused specifically on the lucrative world of options and volatility trading. Perfect for those who want to transition from discretionary trading to building machines that trade smarter than any human. If you're serious about trading, automation, and engineering wealth at scale — this is your playbook.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
28 April 2025
Listed Since
28 April 2025

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