SRBMPR behavior backtest methodology

An institutional-grade, evidence-driven validation architecture built over 15 years of empirical research. Discover how structural event classification, purged cross-validation, and non-calendar time containers eliminate lookahead bias and establish genuine market reproducibility.

Event-driven structural boundaries

Unlike arbitrary standard calendar time intervals, the SRBMPR architecture tests behavioral mechanics using discrete structural sequence events. By cataloging origin zero states, apex trajectories, and completion sequences, each observation forms a rigorous evidence container. This approach removes forced-fit assumptions and isolates clean market behavioral phenomena.

Combinatorial purged cross-validation

To eliminate information leakage and historical hindsight bias, our backtesting pipeline strictly implements purged cross-validation (CPCV) alongside structural embargoes. Training and testing folds are decoupled based on behavioral lifespans rather than linear calendar dates, ensuring zero overlap across sequential event dependencies.

Auditable failure classification

True institutional research requires exhaustive failure analysis. Every observed scenario is systematically classified into match, partial match, or unresolved event states. Under our strict no-forced-match protocol, anomalies are documented directly in the Master Evidence Index rather than discarded, guaranteeing pure transparency for independent review.