Machine Learning for Trading

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A comprehensive introduction to how ML can add value to the design and execution of algorithmic trading strategies

View the Project on GitHub stefan-jansen/machine-learning-for-trading

The minimum backtest length and the deflated SR

Lopez de Prado and Bailey (2014) also derive a deflated SR to compute the probability that the SR is statistically significant while controlling for the inflationary effect of multiple testing, non-normal returns, and shorter sample lengths.

Code exapmle

The script deflated_sharpe_ratio contains the commented implementation made available by Marcos Lopez de Prado on his website.

References