D18-F09-A14 · INTEGRATED EQUITY SCORING · SYNTHETIC DATA

Stock Score History, Migration, and Change Attribution

Learn how a dated score history becomes an auditable change-attribution record.

The learning loop

1 · PredictName the direction before moving a driver.
2 · InspectFind the ratio, signal, contribution, or residual that changed.
3 · ReconcileTie the components to the raw score or model residual.
4 · BoundInterpret the screen without turning it into a finding.
Make a prediction before stepping

Base → current bridge

Scenario base
Current state
Headline delta

Keyboard: Left/Right step, Home resets, and Space plays or pauses when focus is outside a form control.

Current model output

Frozen equation

ΔS=S_t-S_{t-1}; Δc_j=c_{j,t}-c_{j,t-1}; driver=argmax_j |Δc_j|

Component and diagnostic ledger

Changed cards are purple. Start here before interpreting the headline.

Response across 61 states

Model output across the selected accounting scenarioA deterministic synthetic sensitivity line with the current state marked.

Interpretation gate

Boundary: strict chronology and point-in-time snapshot contract

Visible intermediate: latest/prior scores, bands, and component deltas

Open exact point-in-time input and structured output

Input

Output


Synthetic teaching data only. A model score or residual is a historically specified screen—not an audit conclusion, rating, fraud finding, default forecast, or investment recommendation.