SIAD Quant Terminal - Algorithmic Diversity Index

Algorithmic Parameters [INPUT_MATRIX]

Data Oracle Correlation

ρ_data ∈ [0.00, 1.00]

0.500

Pearson correlation coefficient across institutional market data feeds. High ρ implies uniform epistemic blindness during a shock.

Algorithmic HHI

HHI_algo ∈ [0, 10000]

5000

Herfindahl-Hirschman Index for algorithmic strategy concentration. >2500 indicates highly concentrated (homogeneous) market logic.

Stop-Loss Cascade Prob.

P(Cascade|Shock) = λ

0.500

Probability that a 3-sigma event triggers simultaneous standardized stop-loss execution across the network.

Time-Horizon Skewness

γ_horizon ∈ [-2.0, 2.0]

0.00

Skewness towards High-Frequency Trading (negative values). Diverse horizons (near zero) act as structural firebreaks.

Architecture Entropy

S(A) = -Σ P(A) log P(A)

0.500

Shannon entropy of underlying foundation models. Low entropy means reliance on identical 3rd-party black-box AI.

Salih Index for Algorithmic Diversity (SIAD)

0.5000

Probability Distribution (Fat Tail Risk) [MONTE_CARLO_SIM]

STATUS: EVALUATING...

Adjust the quantitative parameters to evaluate the systemic risk topology based on TAFC non-linear dynamics.

Systemic Console Log [IDLE]