The AI-Augmented Trader

SPX 0DTE — same-day-expiration options on the S&P 500 index — has grown into one of the largest single categories by volume in the listed-options market. The structural force behind that growth is gamma exposure: the dealer-hedging mechanics that move price in observable, repeatable ways inside a single session. Most options literature treats gamma as a parameter on a Greek table. The AI-Augmented Trader treats it as the framework’s structural map.

This book is a practitioner’s guide to running an SPX 0DTE options framework end-to-end as a single trader, with AI augmenting every part of the workflow a single trader can no longer reasonably carry alone — premarket setup, intraday updates, trade evaluation, position monitoring, and end-of-day post-mortem. It walks the framework from foundation to operations: data sources and platform ecosystem, the gamma exposure level taxonomy, the two-regime model, the six trading prompts, the three-signal entry rule, structure selection, exit canon, paper-mode validation, the transition to live capital, and the discipline of evolving rules over time.

The framework runs on mechanical rules: regime identified before structure read, structure read before entry signals applied, entries gated by alignment of three independent signals, exits hardened against rule modification mid-session. The AI is a multiplier, not a substitute. The trader’s responsibilities — the audit, the discipline, the willingness to follow rules already written down — do not delegate to the AI. The book is honest about what AI changes and what AI does not, and direct about the threshold paper-mode validation must clear before any framework earns the right to operate live capital.

Written for self-directed traders who have done foundational reading on options mechanics and are ready to build a professional-grade workflow. This is not a system that promises to trade for the reader; it is the discipline by which one trader keeps a framework running with rigor at retail-account scale.