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A Sharpe ratio is a t-statistic. The null hypothesis: you have no skill: Rich Falk-Wallace (Rich Falk-Wallace, ex-Citadel PM, founder of Arcana) explains: "You can think about a Sharpe ratio fundamentally as a t-statistic against the null hypothesis that you don't have skill. That's not a new framing to... show more
40,019 views • 2 months ago •via X (Twitter)
4 Comments

@richfalkwallace Well, a t-stat would use the standard error, not the standard deviation. You’ll have to divide the Sharpe ratio by the square root of N. The amount of data you have matters. According to your definition, we can’t be confident the stock market itself has a positive excess return.

@richfalkwallace i like this framing. a high sharpe isn't just better returns it's stronger evidence your edge is real.

@richfalkwallace that's a simplification, but one that holds up to scrutiny. in practice, most investors are testing their own skill, not the market itself.

@richfalkwallace Biggest fail mode we see: train/serve skew + cost-aware validation. We obsess over that at AlgoChains ( How do you gate Sharpe before live?
