Historical Crisis Analogue Analysis
China's current SIGMA profile of 71.5/100 (ACCUMULATION regime) is pattern-matched against a database of historical financial crises. The ML similarity engine compares current Minsky phase, leverage ratios, network topology, and NLP divergence against crisis fingerprints from 1997 (Asia), 1998 (EM), 2001 (Argentina), 2008 (GFC), 2010-12 (Eurozone), and 2022 (energy shock).
The SIGMA Engine v5.0 derives this score from eight deterministic analytical layers: metabolic lifecycle entropy (β=0.855, biological age 315 months), structural fragility (Minsky phase: ponzi), NLP narrative divergence (0.0%), network contagion (R₀=1.472, percolation intact), and predictive signals (CSD=50.0, Hawkes λ=0.1000).
Regime probability distribution as of 2026-06-10: stable 25.3% / accumulation 24.8% / critical 27.3% / collapse 22.7%. The Hurst exponent of 0.646 indicates strong trend persistence — risk trajectory statistically likely to deepen.
Active risk signals driving the historical crisis comparison score:
Based on Markov chain transition probability from current ACCUMULATION regime. Kairos arbitrage window: 21 days.
Methodology: SIGMA scores are deterministic (identical inputs = identical outputs). Data sources: Federal Reserve FRED, GDELT geopolitical entropy, GLEIF corporate ownership network, Stooq price data. Not financial advice — for informational and research purposes only. Verify predictions: /predictions.