Purge rule logic

The purge rule logic operates as a locked mathematical boundary inside the validation layer of the Siyab Raheman — Behavior Market Psychology Researcher (SRBMPR) framework. Its primary objective is to strictly prevent temporal information leakage across train and test splits during structural behavioral testing. Rather than generating, altering, or synthesizing market patterns, purging enforces an auditable protocol that guarantees genuine out-of-sample statistical validity.

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A detailed technical breakdown of how purging prevents temporal contamination, respects structural event boundaries, and separates test partitions from training datasets.

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Explore the validation layer

Review how purged cross-validation and embargo buffers are implemented in Python across the complete SRBMPR research methodology and evidence index.