Comment by sc077y

so If I understand correctly classical ML would beat this generic approach, classical ML being feature engineering/selection and curve fitting? My next question would be that wouldn't it be smarter to take an auto research agent or even just a classic grid search of sorts to find those features and best curve to fit your problem using backtesting to evaluate and iterate.