Methodology

The edge is in the implementation.

MIZAN is built on three proprietary pillars. The families are named. The parameters are not.

01 · Adaptive equilibrium modeling

A self-correcting fair-price engine that fuses multiple volatility models in real time. The bands are not drawn from a fixed setting. They are computed, and they recalibrate as conditions change.

02 · Multi-regime validation

Every setup is tested against the current market state. A mean-reversion signal in a trending regime is not a mean-reversion signal; it is noise. The engine reads which game is being played before it scores a move.

03 · Evidence-based scoring

No predictions. No forecasts. A 0–100 score measuring alignment across seven independent checks, graded on close. The score is the product. The block is the feature.

What we do not disclose

The exact parameter sets. The fusion weighting logic. The calibration thresholds. The proprietary extensions to standard models.

This is intentional. The vocabulary is public; the implementation is the moat.

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