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IDJINN ORACLE
Financial Intelligence Platform
CONFLICT-ADJUSTED PORTFOLIO ENGINE
BAYESIAN BLACK-LITTERMAN // WHITMORE (2026)
$2.4bn
AUM Modelled
+11.8%
Posterior Expected Return
βˆ’34%
Conflict Adj. Reduction
7
African Asset Classes
0.74
Sharpe Ratio (Posterior)
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// Portfolio β€” Asset Allocation
FIXED INCOME β€” SOVEREIGNS
EQUITIES
REAL ASSETS + CASH
// Portfolio Summary
Expected Return11.8%
Portfolio Volatility15.9%
Sharpe Ratio0.74
Conflict Adj. Returnβˆ’4.1%
Posterior 95% CI[7.2%, 16.4%]
AUM Modelled$2.4bn
11.8%
Posterior Expected Return
↑ vs 9.2% prior equilibrium
βˆ’4.1%
Conflict Adjustment
SPECTRE conflict factor overlay
0.74
Sharpe Ratio
↑ 0.12 vs pre-optimization
$2.4bn
AUM Modelled
Sovereign wealth / DFI
Current Allocation vs Bayesian Posterior Optimal β€” Conflict-Adjusted
WHITMORE CH.7
Current allocation (grey) vs Bayesian posterior optimal (gold). Posterior derived using Whitmore (2026) Ch.7 β€” fully Bayesian extension of Black-Litterman. Prior: CAPM equilibrium. Views: SPECTRE conflict risk scores as negative return signals. Posterior: MCMC N=10,000 draws over coefficient matrix.
Efficient Frontier β€” Posterior Mean vs Volatility
Each point = 1 portfolio. Gold star = Posterior optimal. Black dot = Current portfolio. Red zone = conflict-exposed. Based on 10,000 MCMC posterior draws of expected return vector ΞΌ.
← Lower RiskVolatility β†’
SPECTRE Conflict Factor Overlay β€” Return Penalty Applied
SPECTRE posterior conflict probability mapped to expected return penalty for each African exposure. Novel: conflict intelligence as a Bayesian view in portfolio optimization.
Trade Signals
// Pricing
ANALYST: $8,500/mo
OPERATIVE: $25,000/mo
SOVEREIGN: $75,000/mo
β—ˆ ORACLE