signal-redundancy-audit

To find unused signals in methodology YAML configs, run a static analysis that cross-references signal declarations against signal_weights to identify signals that never influence strategy selection. This surfaces dead or dormant candidates for removal.

Signal redundancy analysis in simulation methodologies is the process of auditing YAML configurations to detect dead or non-decisive signals. It combines static YAML parsing with empirical simulation data to quantify signal impact and guide safe removals.

You do not need simulation data to audit dead signals in YAML files. Static analysis alone can detect signals declared but missing from signal_weights, but empirical simulation data is required to quantify signal impact and dormancy.

To generate a removal report for dormant signals across methodologies, apply the audit across all YAML configs to analyze both declarations and signal_weights. The output provides structured findings and rationale for removing marginal signals per methodology.

The best way to clean up methodology YAML signal declarations is combining static YAML analysis with empirical simulation data to identify non-decisive signals, then applying the structured removal protocol to safely trim dead configurations.