AI Analytics
Tuesday 5 May 2026
07:00 AEST · Quantum + Monetary + Ensemble
AI Synthesis
"Composite signal blends quantum macro state, global M2 topology, and a 5-agent equity ensemble."
0 50 100 0 AI Signal
Late-Cycle Stress macro 0.40 · credit 0.20 · news 0.15 · liq 0.10 · ensemble 0.15
Composite blends macro_score, news sentiment, credit OAS, M2 velocity, and the 5-agent trimmed-mean.
AI Layers
Quantum Macro State Collapsed: Late-Cycle
|Ψ|2 across regime basis · kernel bandwidth modulated by VIX
Measurement Uncertainty
ΔR vs Δt trade-off — high concentration on dominant state → low ΔR, VIX widening → tighter Δt.
Global M2 Network Easing
Node size ∝ M2 contribution · edge intensity ∝ spillover correlation
Global M2 (4-major)$99.6T
YoY Growth+4.6%
Velocity (M2 × V)1.18×
Dispersion (σ)2.4pp
Multi-Agent Ensemble Forecast Dispersion: Wide
5 agents · 3-month equity return · trimmed mean ± 1σ · 200 Monte Carlo paths
Ensemble Mean
−1.2%
Std Dev (σ)
5.8%
Tail Risk (5%-VaR)
−10.4%
Methodology · v0.1

Quantum state · macro_score → 5-regime Gaussian kernel, VIX-modulated bandwidth.

M2 network · 6 CBs sized by M2; edges = 90d sovereign-yield correlation.

Ensemble · 5 agents (Hawk, Dove, Quant, Contrarian, Regime-Aware); 200-path MC; trimmed mean ±σ.

Composite · macro 0.40 + credit 0.20 + news 0.15 + liq 0.10 + ensemble 0.15. Auto-refresh on cron.