Does anyone understand how Deflated Sharpe Ratio works?
In Dr Marcos López de Prado's presentation, the Deflated Sharpe Ratio is used to prevent backtest overfitting by finding the "True Sharpe Ratio". I'm still digesting it. I also found this webpage that the author implemented it in python. Does anyone understand how does it work and how to implement it in Quantopian Research?
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