Verified65% confidenceFactExact time
The Sharpe ratio is excess return divided by the standard deviation of returns, measuring the reward obtained per unit of risk taken; a value above 1 is generally considered good performance, while above 2 is considered excellent.
3
Sources
65%
Confidence
Long-term
Relevance
8/6/2026
First Seen
Sources
Related Claims
UnverifiedSubstituting the strategy's data (55% × 2.4R − 45% × 1R) yields an expected value of +0.87R, meaning a long-term average net gain of 0.87 units for every 1 unit of risk taken.77% similarUnverifiedIn the synthetic experiment, "always output RISK_LEVEL: 1" achieves an ordinary accuracy as high as 0.922, but an average reward of −0.000, showing that class-balanced rewards can prevent laziness.72% similarUnverifiedA 96% token saving is more likely a peak performance figure under specific optimized scenarios rather than a general average.69% similarUnverifiedThe Sortino ratio is an improvement on the Sharpe ratio, using only downside standard deviation as the denominator, which better matches investors' concern about loss volatility.68% similarUnverifiedThe Sharpe ratio was proposed by Nobel Economics Prize laureate William Sharpe and is calculated as the strategy's excess return divided by the standard deviation of returns.68% similar
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