About

William M. Wass is the author of The AI-Augmented Trader and a technology practitioner with twenty-five years of IT consulting experience. The trading framework documented in this book grew out of a question that surfaces naturally for someone who has spent a career building, hardening, and auditing complex systems: what would it take to run a trading discipline the same way?

The answer turned out to be specific. SPX 0DTE options as the instrument. Gamma exposure mechanics as the structural map. A small set of mechanical rules that fire without discretion when their conditions are met. AI-augmented workflows as the multiplier that makes a solo-operated framework affordable to run end to end. The framework was developed across years of paper-mode validation, live capital deployment, structured analysis of every session, and rule-by-rule refinement. The canonical literature — McMillan, Natenberg, Douglas, Schwager — set the foundation; the actual rules emerged from extended use against the market the framework actually trades.

This book is the result. The discipline that runs on the framework is the same discipline that built the IT systems behind the practitioner's career: rules over impulses, audit over recall, mechanical execution over discretionary instinct. The AI part is real. The framework, and the discipline, are what no multiplier replaces.

This site is the book's companion. The chapters live on the page; the operational artifacts — the calculator, the figures, the prompts, the journal templates, the reference scripts — live here, in working form, where a practitioner can engage with the framework directly. The publisher engagement is active. Whatever path resolves, the work has earned the right to be shared in the form it actually runs in.