Your question is Feature Engineering Without Backtest Bias. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
How do you evaluate whether a newly engineered feature contains genuine predictive power or is simply the result of data mining and backtest overfitting?