In-sample
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These filters help distinguish productively refining a strategy from merely rescuing it.
Tune a strategy hard enough and it fits the past perfectly — then falls apart on new data. Push the tuning up and watch the out-of-sample curve diverge from the in-sample one.
Do not optimize to erase normal drawdown.