LEARN · REGIME DETECTION

What Are Regime Signal False Positives and How Do You Account for Them?

Q: What are regime signal false positives?

Regime signal false positives occur when an indicator generates a regime transition signal that is not subsequently confirmed by a real regime shift. They are distinct from false regime signals in that they refer specifically to the statistical false positive rate of individual indicators — the percentage of times an indicator fires a transition signal without a confirmed regime change following. Understanding false positive rates is essential for calibrating conviction when acting on regime signals.

Regime signal false positives occur when a transition indicator fires without a confirmed regime shift following. Individual indicators have false positive rates of 20–40%; composite multi-dimension signals reduce this to 10–15%. Accounting for false positive rates is essential for calibrating position sizing and conviction when acting on regime transition signals.

AhaSignals Research · Not investment advice

False Positive Rates by Indicator Type

Different indicator types have different false positive rates. Single indicators (e.g., yield curve inversion alone) have higher false positive rates than composite signals requiring multi-dimension confirmation. AhaSignals estimates the following approximate false positive rates based on historical regime episodes:

Signal Type	Estimated False Positive Rate	Confidence
Single indicator	25–40%	Speculative
Two-dimension composite	15–25%	Speculative
Four-dimension composite	10–15%	Speculative

All estimates are speculative — based on limited historical regime episodes. Not investment advice.

Known Limitations

False positive rate estimates are based on a small number of historical regime cycles — statistical confidence is low
Central bank intervention can convert genuine transition signals into apparent false positives
Not investment advice.