D07-F01-A19 · LEVEL 2 GUIDED LAB · SYNTHETIC DATA

Jurik-Style Moving Average Design

How can you design an auditable low-lag adaptive smoother without claiming proprietary JMA parity? Walk the evidence clock one stage at a time. This lab teaches the publication contract; it does not simulate returns, platform parity, or trade performance.

Selected expression

transparent approximation: J_t=J_(t-1)+alpha_t(P_t-J_(t-1)); alpha_t=clip(alpha_0*(1+lambda*z_vol),a_min,a_max)

Availability rule

An output at t may use only finite, basis-consistent observations available through t; chart alignment never moves the information clock backward.

calculated · step 1 of 7

Verified synthetic fixture

This lab is paired with datasets/implementation-fixtures.json: 96 deterministic, oldest-to-newest observations spanning oscillating, rising, and moderating regimes. It is teaching data—not market history or predictive evidence.

Canonical latest output (D07-F01-A19)
{
  "value": 103.48082066608806,
  "alpha": 0.17224435187656212
}

Executable checks cover this result, flat/zero-volume boundaries, invalid timestamps, and prefix causality in both language entry points.