Data published by hypothesess.com, 7 November 2026. The data as JSON.

Read the article: A 190-pair moving-average grid on five years: luck alone gives the best pair a Sharpe ratio near 1.2

Our own calculation, 7 November 2026, for the article "Tuning backtest parameters without fooling yourself". Two ways: the closed-form approximation of the expected maximum of N independent standard normal draws given by Bailey, Borwein, Lopez de Prado and Zhu (2014, equation 2.4, with the Euler-Mascheroni constant), and the exact expectation by numerical integration of x times N times phi(x) times Phi(x) to the power N minus 1. The standard error of an annual Sharpe ratio with no skill over T years is the square root of 1 over T (Lo, 2002, with SR = 0): over 5 years, 0.447.

What we found

Check it yourself

Configurations N Expected maximum, Bailey eq. 2.4 Expected maximum, exact integral Times 0.447: Sharpe from luck, 5 years
7 1.387 1.352 0.60
45 2.236 2.208 0.99
100 2.531 2.508 1.12
190 2.749 2.729 1.22
495 3.050 3.034 1.36

What this cannot tell you: the inflation for a particular correlated grid (it needs the trials' correlation, or a holdout); anything about a strategy with real skill, whose in-sample ratio is skill plus the same luck.