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Bayesian analysis of backtest results

Last week we announced (https://www.quantopian.com/posts/new-feature-comprehensive-backtest-analysis) the new library we wrote called pyfolio (https://github.com/quantopian/pyfolio) to do comprehensive backtest analysis.

One special feature is the Bayesian analysis that is included. A lot of this work is the result of a summer intern project with Sepideh Sadeghi. See here for a blog post that explains the statistics and benefits of the Bayesian analysis in more depth: http://blog.quantopian.com/bayesian-cone and then come back here to check out the NB that shows you how to do the analyses for your own backtests.

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1 response

Looks good. In the first graph, there are two "returns", consider naming them distinctly, have seen some with two curves and couldn't tell if one was benchmark or what. Y-axis might beneift from units, percent or or ...

Also 1/10th of white males are red-green colorblind, myself included, bit of confusion. One line blue and I'm good. Grey also good sometimes. Differences in intensity are good, even light green and darker green. Ideally you might find one of us around the office to help with color choices if the system has flexibility in that.