If you’ve browsed through algos on Stratzy, you’ve probably noticed an ‘Algo Score’ displayed right next to each algo.
And one of the most common questions we get is: What exactly is this Algo Score, and how is it calculated?
So here’s the breakdown ![]()
Algo Score = Sharpe Ratio × 10
Naturally, the next question is:
What is Sharpe Ratio?
The Sharpe Ratio measures how much return an algo generates relative to the risk it takes.
In simple terms:
Higher returns with lower volatility = Higher Sharpe Ratio
Formula
Sharpe Ratio = (p - f)/s
where:
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p = portfolio or strategy return
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f = risk-free rate
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s = standard deviation of returns (volatility)
A higher Sharpe Ratio generally means the algo is delivering more consistent risk-adjusted returns.
Simple Example
Imagine two algos:
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Algo A generates 20% returns but with large fluctuations.
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Algo B generates 18% returns with much smoother performance.
Even though Algo A gives slightly higher returns, Algo B may have a better Sharpe Ratio because its returns are more consistent and less volatile.
That means Algo B could end up having a higher Algo Score.
Important Note
Algo Scores are dynamic and keep changing based on:
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Market conditions
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Algo performance
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Changes in volatility
So it’s always a good idea to keep checking the latest score.
Let us know what other metrics you’d like us to explain next ![]()
