| Platform | EnergyScope MCP v2.9.3 |
| Pipeline | data → derived_signals (v2) → compare_runs → HTML → publish |
| Tools used | correlate_all (WTI vs MACRO.*), latest (MACRO/ECB), percentile (WTI/Brent), derived_signals, compare_runs, IEA.OMR_HEADLINE |
| Data sources | MACRO (VIX, S&P, DXY, copper, 10Y, gold, BWET), ECB (USD/EUR), SHIP (BWET), IEA (OMR headline, Brent Dated, physical peak) |
| Contradictions firing | supply_shock_signature (0.922), fundamental_rally (0.725), freight_locked_arb (0.725) |
| Snapshot keys | vix_corr, spx_corr, dxy_corr, bwet_z, brent_wti_zscore, wti_mm_pctl, brent_mm_pctl, eurusd, wti_price_pctl, iea_brent_dated, iea_physical_peak, regime, primary_dislocation, contradictions_active_count |
| Signal layer stats | 3 contradictions active out of 14 defined; 39 named signals evaluated; supply_shock_signature is top-score (0.922) |
| Narrative approach | Regime-first: supply shock classification drives the narrative. Contradictions confirm the shock is fundamental (not speculative) and freight-locked. Cross-asset correlations (VIX +0.922, S&P -0.888) are the macro fingerprint, not standalone metrics. |