Autopsy

AUTOPSY is a real-time market stress intelligence system designed to answer a critical financial question: "Which historical crisis does the current market structure most resemble, and what happened next?" Instead of relying on standard price prediction models, AUTOPSY acts as a structural stress detector. It actively fetches live macroeconomic and financial data to compute 40 specialized market indicators across five core dimensions: Liquidity, Volatility, Correlation, Credit, and Positioning. These indicators are mathematically normalized into a high-dimensional "structural fingerprint." AUTOPSY then compares the live market fingerprint against pre-crisis signatures from 10 major historical dislocations—ranging from the 1998 LTCM collapse to the 2008 Global Financial Crisis and the 2023 SVB Banking Crisis. By utilizing cosine similarity and 2D embeddings, the system identifies precisely where the current market sits relative to historical danger zones. Finally, an integrated Large Language Model acts as a quantitative risk officer. It analyzes the raw mathematical similarities, pinpoints exact structural divergences, and automatically generates an institutional-grade risk briefing, empowering analysts to detect systemic vulnerability long before price-level panic makes the danger obvious.