MMBS HkOrE FX [V5.11]

The Multi-Model Bias System (MMBS) is a composite bias-detection framework that evaluates price behavior using three independent analytical engines: structural confirmation, normalized volatility expansion, and momentum velocity dynamics. The goal of the tool is not to generate trading signals, but to identify the dominant directional bias through multi-factor validation.

🔧 1. Structural Recognition Engine (Multi-Pivot Confirmation)

MMBS identifies market structure using a multi-confirmation pivot model rather than a single swing point.

A Swing High/Low is only confirmed when several consecutive pivot conditions align.

This reduces noise and produces a “stable structure map.”

A bullish bias requires sequential higher-low and higher-high confirmations; bearish bias requires the opposite.

Because this model relies on progressive confirmation, it behaves differently from common fractal-based structure indicators.

This approach allows the bias to remain stable during minor price fluctuations.

🔧 2. Normalized Volatility Boundary (Modified ATR Model)

Volatility is processed using a custom ATR-based normalization:

The script calculates a rolling ATR range, then scales it using a smoothing function to prevent extreme expansion.

This produces a volatility boundary line that adapts proportionally to recent market conditions.

When price approaches this boundary while structural strength weakens, the system flags reduced confidence in the existing bias.

This method differs from standard ATR bands because it compresses outlier volatility instead of amplifying it.

🔧 3. Momentum Velocity Engine (Smoothed ROC Filter)

The momentum module measures acceleration rather than raw momentum:

A smoothed Rate-of-Change curve evaluates whether price velocity is supporting or diverging from the current structure.

Deceleration near the volatility boundary is interpreted as potential instability.

No buy/sell signals are generated—momentum is used strictly for bias confidence filtering.

By focusing on velocity shifts instead of momentum direction alone, the system captures early structural weakening.

🔗 How the Components Interact

A directional bias is assigned only when:

Structure confirmation

Volatility normalization

Momentum velocity

are aligned in the same direction.

If any module diverges, MMBS defaults to a neutral (no-bias) state.
This behavior distinguishes it from single-module indicators that rely solely on trend, volatility, or momentum.

📊 Visual Output

Bias Color Bar — shows the dominant directional bias (bullish / bearish / neutral).

Volatility Boundary Line — reflects the normalized ATR range used for stability validation.

Momentum Markers — point to areas where velocity divergence may invalidate the bias.

These components are informational only and do not represent entry or exit signals.

⚙️ User-Adjustable Inputs

Structure Sensitivity — modifies how many pivot confirmations are required.

Volatility Scaling — adjusts ATR normalization strength.

Momentum Smoothing — controls responsiveness to short-term velocity changes.

🔒 Why the Script Is Invite-Only

The script uses custom structural logic, a custom-developed ATR normalization method, and a ROC-based velocity filter that differs from publicly available tools.
Invite-only access is maintained to ensure responsible use and preserve controlled distribution of the multi-factor bias-model framework.
The script does not rely on any publicly available template and integrates multiple independent computational layers, which justifies restricted visibility under TradingView’s policies.