Pattern Reconnaissance Station
cross-asset lagged-correlation discovery · z-score anomalies · catalyst mapping · AI analysis
Sample snapshot · preview
Discovery Heatmap Anomaly Radar Hypothesis Lab Catalysts Trades Predictions Allocation Health
Scanning 500,000+ cross-domain lagged pairs across 28 series…
AI analysis · regime read
Regime: late-cycle, liquidity tightening. The strongest cross-domain clusters sit in real assets and industrials, with defensives leading on any growth wobble. Read: lean into the second-order beneficiaries of electrification — copper, grid, power — keep duration hedged, and treat gold's decoupling from real yields as the tell to watch.
Generated by the Claude-powered analysis layer over the live signal set (live web search enabled).

Discovery — cross-domain dominoes 6 high-confidence

Convergence
Three signals point the same way — toward Industrials.
Copper, freight, and PMI breadth align. Position window: open.

Anomaly Radar — z-score deviations 4 active

Catalysts — events mapped to signals

Correlation structure 28 × 28 in full

1 Copper2 Semis3 Banks4 Oil 5 Gold6 Industrials7 Airlines8 Retail
Strongest lagged correlation between every pair; darker celadon = stronger lead-lag. Industrials and Semis read as the transmission hubs — the dominoes that knock over the most others. Click-to-drill in the full build.
Illustrative preview of the Pattern Reconnaissance Station. The full engine scans 500,000+ cross-domain lagged correlations across ~28 equity, macro, and economic-health series, with z-score anomaly detection, a catalyst calendar mapped to signals, multi-horizon portfolio allocation, and a Claude-powered analysis layer with live web search — across nine tabs. The snapshot above is sample data, not a live feed.