What is Optimization?
Optimization is the process of searching for the parameter values that produce the best backtest results. Done carefully on in-sample data and checked out-of-sample, it can help. Done blindly, it slides into curve fitting, picking the settings that happened to fit past noise the best.
Why Optimization matters
The line between sensible tuning and curve fitting is thin, and crossing it ruins a strategy.
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