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Your portfolio optimization problem should be as simple as possible in the first iteration, esp if this is your first iteration. Only then move to something more complex. Don't go towards DL as you might want to impose additional conditions and have some walk-forward explainability (why is the model suggesting this??). Cool stuff like HOLA should be plenty for you about hyperparam tuning anyways.
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Hence, a higher number means a more popular project.