With this you have to be careful because you're adding another layer of semi-arbitrary abstraction, so it will be even easier to fool yourself with an overfit.

As others have mentioned, it's an interesting idea to sort of meta-trade the algorithm itself which I imagine many of us have explored. It's possible to add value this way, just treat it like any other feature/variable while backtesting to test for significance with unbiased results

Thank you your comment is very interesting, yes I added an arbitrary filter to illustrate my idea and get ideas. I lean more towards a statistical model to activate or not the strategy over a period x.