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Add tickers; our engine maps symbols globally.
The MVIE engine reads the market as a network rather than a list of positions. Here is the pipeline that produces the score, the three pillars it rests on, and a simulator you can push yourself.
Three-step workflow
From ticker input to regime-aware risk observation—MVIE Pro surfaces systemic structure in three auditable stages.
Add tickers; our engine maps symbols globally.
Network topology reveals systemic dependencies you can't see in raw returns.
The MVIE score shows how unusual today's correlation structure is against its own past year.
Research purpose
MVIE Pro exists to make the structure of systemic market risk observable as it changes—not through black-box signals, but through auditable mathematics and explainable scenario narratives.
GREEN, AMBER and RED come from fixed bands on the MVIE score: below 60, 60–80, 80 and above. There is no hidden-state model; the score rests on eigenvalue concentration (AR), correlation change (IS) and centrality drift (PD), each measured on a rolling 60-session window.
STATE_RULE :: fixed bands on the MVIE score WINDOW: 60 sessions vs the previous 60 STATE: GREEN <60 | AMBER 60–80 | RED ≥80 OUTPUT: MVIE composite + veto at RED AUDIT: AR · IS · PD
Interactive simulator with illustrative formulas. The live engine uses real market data, PCA eigenvalues, and Spearman correlation networks — try the engine for a real run.
39.7
MVIE = 0.40×AR + 0.35×IS + 0.25×PD
State: GREEN
Veto protocol: INACTIVE
Scenario active without override
AAPL
Large-cap equity proxy in the sample scenario set.
Scenario active without override
BTC-USD
High-volatility asset where stress transmits faster.
Scenario active without override
GLD
Defensive commodity proxy in cross-asset stress windows.
Macro regime calm. Diversification intact; signals operate without override.