🔒

Unlisted — Proprietary Engine

This page is no longer publicly listed. The DFM theoretical framework and signal definitions remain public, but the calculation engine is proprietary and will not be made available as an open service. This tool is retained for internal reference only.

DFM Calculator

Compute Dynamic Forecasting Model metrics from raw signal data. Enter sequential values to see real-time vitals, z-scores, spring detection, and state machine transitions.

Signal Input

Enter values one at a time (like a live feed) or paste a comma-separated series.

Single Value (tick)

Batch (comma-separated)

0 ticks

VALUE

Current State

—

Δ: —

Pressure Action

—

Δ: —

PAE

Pressure Effect

—

Δ: —

ENG

Energy

—

Δ: —

SLOPE

System Rhythm

—

Δ: —

EVENT

Transition

—

Δ: —

Robust Z-Scores (EWMA + MAD)

Median Absolute Deviation z-scores for spring detection thresholds.

—

z(ENG)

—

z(d1) — 1st derivative

—

z(d2) — 2nd derivative

—

Spring Signal

Spring-Run State Machine

IDLE

→

BOTTOM

→

POP

→

DECAY

→

RUN

Waiting for data...

COMPOSITE SPRING SIGNAL

0.000

—

amplitude: 0 · phase: 0 · friction: 0

Formula Reference

\(\text{spring} = \text{amplitude} + \text{phase} + \text{friction} + \text{noise}\)

EWMA: \(\alpha_{\text{ENG}}=0.2,\; \alpha_{d1}=0.3,\; \alpha_{d2}=0.4\)

\(z(x) = \dfrac{x - \text{median}}{1.4826 \times \text{MAD}}\)

LOADING: \(z(d_1) \le -1.2\) AND \(z(d_2) \le -0.8\)

BOTTOM: \(z(d_1) > 1.0\)

POP: \(d_1 > 0\) AND (\(z(d_1) > 2.0\) OR \(z(\text{ENG}) > 2.0\))

DECAY: \(|z(\text{ENG})| < 1.1\)

RUN: \(|z(\text{ENG})| \le 0.9\) for \(\ge 40\) samples

\(\text{softClip}(x) = L \cdot \tanh(x / L)\)