http://www.experimentalmath.info

<== This is a picture from the interactive geometry package |

This website is a repository of information on experimental and computer-assisted mathematics. It is operated by

- David H. Bailey, Lawrence Berkeley Laboratory, and University of California, Davis (DHB website)
- Jonathan M. Borwein, University of Newcastle, Newcastle, Australia (JMB website)

- 10 May 2014: In a column today, John Rekenthaler, Vice President of Research for Morningstar, presented a synopsis of our "Pseudo-Mathematics" paper. He relayed our recommendation that it would "behoove the investment community to adopt a similar policy" to one now being promoted in the pharmaceutical industry, namely to make all test results public.
- 28 Apr 2014: The present authors' paper was mentioned in a Pacific Standard article by Ryan Jacobs. It quotes one of us saying, "What you end up doing is that the models that you derive or you select tend to just focus on idiosyncrasies of the data, and don't have any real fundamental forward predictive power."
- 23 Apr 2014: After the talk by Bailey and Marcos Lopez de Prado at the "Battle of the Quants" meeting in New York City in March (see below), Bailey was invited to do a video interview for Institutional Investor Journals. This video is now available online Here.
- 17 Apr 2014: The present authors were featured in a Barron's article by Brendon Conway. We were quoted as saying, "The higher the number of configurations tried, the greater is the probability that the backtest is overfit."
- 16 Apr 2014: The present authors were featured in a Financial Times article by Stephen Foley. He summarizes our paper by saying, "The authors' argument is that, by failing to apply mathematical rigour to their methods, many purveyors of quantitative investment strategies are, deliberately or negligently, misleading clients." If you cannot view the article due the pay wall, a PDF copy is available Here.
- 11 Apr 2014: The present authors were featured in a Bloomberg News article. It quotes one of us as saying, "We strongly suspect that such back-test overfitting is a large part of the reason why so many algorithmic or systematic hedge funds do not live up to the elevated expectations generated by their managers."
- 10 Apr 2014: The paper "Pseudo-Mathematics and Financial Charlatanism: The Effects of Backtest Overfitting on Out-of-Sample Performance," written by the present authors together with Marcos Lopez de Prado and Qiji Jim Zhu, was published by the American Mathematical Society. It is available free of charge from the AMS website, or from the SSRN website (preprint version).
- 26 Mar 2014: On Tuesday March 26, 2014, Bailey and Marcos Lopez de Prado jointly presented a talk How to spot backtest overfitting at the Battle of the Quants meeting in New York City.
- 12 Mar 2014: An article by Bailey and Borwein, entitled "Pi day is upon us again, and we still do not know if pi is normal," has appeared in the
*American Mathematical Monthly*. A preprint copy is available here.

All material is copyrighted by David H. Bailey and Jonathan M. Borwein (c) 2014.

For details on the authors' books on experimental mathematics, see Books