Machine Learning model for SPY market stress detection using 72+ technical indicators
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Updated
Mar 25, 2026 - HTML
Machine Learning model for SPY market stress detection using 72+ technical indicators
End-to-End replication of Schmitt's (2026) Market Stress Probability Index. Implements cross-sectional fragility signal extraction, dynamic stress labeling via volatility quantiles and Lasso-Logit forecasting. Includes Jordà local projections for structural impulse response analysis. Strict real-time discipline & expanding-window training.
Institutional-grade early warning system for systemic deleveraging events
Mapping market stress to yield curve regimes using FRED data — co-occurrence structure, stress behavior, and current macro positioning.
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