Glossary term

False Discovery Rate

A way to control false positives when testing many patterns.

False discovery rate, or FDR, is used when many hypotheses are tested at once. It reduces the chance of treating random noise as a real pattern.

Example: Testing 11 ETFs across 12 months creates 132 tests, so FDR correction matters.

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