THE FINTECH BUILDER · SYNTHETIC LEARNING LAB

Oracle Approximating Shrinkage

Trace the finite-dimensional coefficient rather than assuming library equivalence.

0.7
1

Keyboard: Tab to a control; native arrow keys change sliders. Alt + Right steps, Alt + Left goes back. Reduced-motion Play advances one state only.

  1. 1. Compute ML empirical covariance
  2. 2. Trace C and trace C²
  3. 3. Retain original 2/p coefficient terms
  4. 4. Handle isotropy and blend target

Calculated history

Calculated stateValues from the current input prefix, not a decorative trace.
● Selected experiment┄ Canonical parameters / same cutoff

Result and diagnostics

rho=clip(((1-2/p)tr(C²)+tr(C)²)/((n+1-2/p)(tr(C²)-tr(C)²/p)),0,1)

Calculation trace

Exact current output (JSON)


Input audit
Only the shown information prefix is supplied to the calculation. Synthetic fixture; no live market data or fitted performance claim.
Exact input supplied to the reference engine