A strategy can look diversified across timeframes while repeatedly betting on the same underlying move.

Imagine three models:

A 15-minute momentum signal.

A 4-hour breakout signal.

A daily trend signal.

All three turn bullish on BTC simultaneously.

Your system may treat them as three independent confirmations and increase exposure accordingly.

But they may simply be different measurements of the same price impulse.

This creates confirmation duplication.

More signals do not automatically mean more independent evidence.

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The deeper task is to measure how much incremental information each confirmation actually contributes.

If removing the second and third signals barely changes forecast quality, they were not adding conviction.

They were repeating it.

Confidence should increase when independent evidence agrees—not when the same information is counted several times.

Three indicators observing one event are still observing one event.