Zensei: Interpretable Market Regimes

This talk presents Zensei, an AI-powered market regime engine designed to translate complex macro and market data into structured, interpretable intelligence. Rather than predicting prices or issuing trading signals, Zensei models market risk as a hierarchy of regimes, constraints, and transitions, and uses AI to explain what changed, why it matters, and what would alter the regime next.

The system combines a deterministic rules-based engine with carefully designed prompts that generate consistent, non-alarmist, human-readable explanations in real time. The demo will show how structured data, regime logic, and prompt engineering work together to produce explainable, high-signal outputs suitable for decision support.