Early Warning Signal Dashboard
Hungary's Early Warning Signal (EWS) composite registers SIGMA 66.6/100 (ACCUMULATION regime). The EWS system integrates Critical Slowing Down (variance increase before tipping points), Hurst exponent trend persistence, Hawkes process self-excitation intensity, and Hidden Markov Model regime probabilities.
The SIGMA Engine v5.0 derives this score from eight deterministic analytical layers: metabolic lifecycle entropy (β=0.611, biological age 61 months), structural fragility (Minsky phase: hedge), NLP narrative divergence (0.0%), network contagion (R₀=1.443, percolation intact), and predictive signals (CSD=38.0, Hawkes λ=0.1000).
Regime probability distribution as of 2026-06-10: stable 24.3% / accumulation 25.3% / critical 27.5% / collapse 22.8%. The Hurst exponent of 0.737 indicates strong trend persistence — risk trajectory statistically likely to deepen.
Active risk signals driving the early warning signals score:
Based on Markov chain transition probability from current ACCUMULATION regime. Kairos arbitrage window: 25 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.