Most backtests in financial blogosphere and even academic papers are wrong or ambiguous not only due to data-mining bias and over-fitting but also due to errors. Backtesting correctly requires understanding of data, software and markets. Knowing how to program is necessary but not sufficient for generating realistic backtests . . .
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