When should you remove a regime filter instead of keep tuning it?

A regime filter is on borrowed time when every new sample period demands a new threshold, every bad month gets a new exception, and the live team can no longer explain what the filter is supposed to protect against.

Compare the current strategy against a simplified version with the filter removed or replaced by a much simpler rule. If the simplified version is nearly as good, easier to understand, and easier to operate, that is valuable information rather than a disappointment.

Sometimes the right answer is not deleting the context idea entirely, but shrinking it into one clear threshold or one cleaner size rule. That often preserves most of the benefit while eliminating the overfit scaffolding that accumulated around it.

In Alphora terms, a regime layer should justify itself the same way any other building block does: honest backtests, repeated out-of-sample evidence, and forward behavior that still looks coherent once the model is no longer being defended by the person who built it.