Evidence

Markets generate constant movement and noise. The goal of the Market Framework Model is to reveal the structure that sits underneath that noise. This section presents the analytical and empirical foundation of the model. It provides research results, methodological notes, cross asset observations, and practical examples that show how the four layers of MFM behave in real markets.

The intention of this section is clarity, not prediction. MFM does not attempt to forecast the future. It organizes market behavior into structural states that can be observed, tested, and evaluated. The evidence presented here is meant to give users a clear understanding of what the model measures, how it was tested, and where its boundaries lie.

Three purposes

First, it presents the core research behind the model. The backtest report examines whether momentum phases behave as distinct states and whether these states appear consistently across different assets and environments. The results show how the model performs under varied conditions and what structural patterns repeat across markets.

Second, it explains how the research was done. The methodology pages describe how MFM states are defined, how forward tendencies are measured, and how the evaluation was structured. This transparency ensures that the model remains analyzable and falsifiable.

Third, it provides examples of how structural behavior appears in practice. The case studies and cross asset observations highlight how regimes, phases, leadership, and forecast zones interact on actual price charts. These examples are interpretive and educational. They are not financial advice.

Roles

The individual pages that explain each component of the evidence base:

Backtests
Present the complete research results and all underlying tables.

Methodology
Explains the research design and how MFM states are classified.

Empirical validation Summarizes what the results mean for the model as a whole.

Cross asset analysis
Highlights how structure repeats across unrelated markets.

Case studies
Show real world examples of structural behavior in charts.

Deviation model (DFM)
Outlines how anomalies and shocks fit into the framework.

Verification and replication Provides guidance for independent evaluation.