SRBMPR backtest methodology

A time-based, empirical framework for behavioral reconstruction and historical validation. SRBMPR backtesting is neither a signal generation mechanism nor a predictive forecasting system, but a disciplined scientific method designed to examine whether, when, and under what exact conditions defined market psychological behaviors occurred.

Behavioral reconstruction without predictive bias

A backtest in this research framework is fundamentally a historical record-matching protocol. Every market behavior is first defined in exact, unambiguous terms prior to examination—never fitted retroactively. Rather than answering what price will do next, the computational engine evaluates what measurable sequence of events followed a documented structural condition, and how consistently that behavior resolved under locked governance parameters.

Raw data preservation and time-window governance

Integrity is maintained by keeping every historical observation in its authentic, unmodified format. Data points are never estimated, interpolated, or backfilled; absent data points are logged strictly as missing. Structural governance tools, including strict time-window validity gates and dual-direction validation protocols, prevent look-ahead bias and protect the independence of the historical dataset.

Separation of methodology and computational engine

SRBMPR enforces an uncompromising separation between the research methodology and the computational execution layer. The behavioral framework defines what constitutes psychology, structural state shifts, and qualitative relationships. An independent execution system processes the immutable datasets, detects structural events against predefined rule sets, and yields verifiable, auditable research records for institutions and quantitative analysts.