Systematic Review Protocols & Diagnostic Verification
Evaluating the output of a screening pipeline requires rigorous diagnostic assessment. Examine candidate distributions, filter leakage, and structural skew to ensure condition stacks executed precisely as planned without behavioral bias.
Candidate Count Dispersion
Measure whether the candidate quantity deviates significantly from the typical historical range under uniform market conditions. Unusually wide pools suggest loose threshold boundaries.
Sector Concentration Audit
Identify unintended industry clustering. When multi-condition logic lacks industry normalization, macroeconomic tailwinds can skew the output pool toward a single sector.
Edge-Case Boundary Testing
Inspect surviving symbols sitting directly on parameter cutoffs. Anomalous data prints or liquidity spikes can artificially satisfy mathematical constraints.
Candidate Evaluation Notes & Analysis
Post-Filter Candidate Dispersion and Sector Bias
Evaluating statistical output variance across different market regimes to prevent clustering.
Surviving Candidate Audit and Edge-Case Isolation
Methodical techniques for auditing outliers that pass filtering purely on accounting quirks.
Diagnostic Verification Principle
Post-filter reviews are strictly intended to audit whether Boolean parameters, moving window calculations, and thresholds execute without logical defects. Review notes do not provide transaction guidance, asset recommendations, or portfolio selections.