Optimal Portfolio — Cross-Everything

Alpha-maximized basket spanning ALL asset classes AND markets. Toggle between 5 optimization modes × 5 objectives × 5 regime scenarios. Below: AlphaBoost-calibrated 2-week single-class view; above: the new cross-class engine with contrarian duality, edge-decay timeline, correlation-shock stress, and tail carve-out overlays.

AlphaBoost Multi-Horizon ER Ledoit-Wolf Cov Monte Carlo (2k) Purged IC Pattern Clone Earnings Filter Decay Demote Smart Money IV/RV Arb Cross-Sect Z Bayesian W Fat-Tail CVaR Scoring Ensemble Short-Side Alpha PEAD Drift Factor Rotation Execution Alpha
🎯 Cross-Everything Optimizer All classes · All markets · All regimes
Mode
Unconstrained
Cross-Class
Cross-Market
Class-Fixed
Market-Fixed
Objective
Max Sharpe
Min Vol
Risk Parity
Black-Litterman
Max Return
Regime Scenario
Base
Bull
Bear
Stagflation
Goldilocks
Novel Overlays — Ingenuity Layer
📊 Scenario Matrix
🔀 Contrarian Duality
⏳ Edge-Decay Timeline
⚡ Correlation Shock
🛡 Tail Carve-Out

Holdings —

# Symbol Cap Sector Weight Blended ER Vol σ Sharpe Conf Score Entry Stop Target
Building optimal portfolio...

Monte Carlo · 2-Week Outcome —

Short Basket —

Top short-side candidates from the same universe, ranked by distribution flow + IV richness + broken trend + failing breadth (squeeze-risky names excluded).

PEAD Drift Leaders —

Post-earnings-announcement drift — SUE × exp(-ln2·days/20). Academic anomaly, ~60-day predictive window.

Rebalance Watch

Allocation · Cap Tier

Allocation · Sector

Pattern Clone · Regime Match

Factor Rotation

Dynamic IC-weighted factor family tilts. Momentum, Quality, Value, Sentiment, Technical, Micro.

Ensemble Weights

Bayesian meta-ensemble over enhancedScore, AlphaBoost, MaxAlphaHub, MLEngine, PatternClone. Weights ∝ ICIR².

Why These 15