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·6 min read·By EXCAVO Team

What Is the Sharpe Ratio? (2026)

The Sharpe ratio explained simply — how it measures return per unit of risk, what counts as good, and the limits every investor should know.

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Two strategies both returned 20% last year. One did it smoothly; the other lurched through stomach-churning swings to get there. Clearly they aren't equally good — but return alone can't tell them apart. The Sharpe ratio can. It's the most common way to measure return relative to the risk taken, and understanding it changes how you judge any strategy.

The Idea in Plain English

The Sharpe ratio asks a simple question: how much return did you earn for each unit of risk you endured? It takes your return (above a risk-free baseline like short-term government bonds) and divides it by volatility — how much the returns bounced around.

Higher is better: more reward for the bumpiness you lived through. A high return earned smoothly scores well; the same return earned through wild swings scores worse.

Why It Matters

Return on its own is a vanity number — it ignores what you went through to get it (see measuring strategy performance). Risk-adjusted return is closer to what actually matters, because a bumpier path is harder to hold and more likely to shake you out at the worst time (see surviving drawdown). The Sharpe ratio puts return and risk in the same sentence.

What Counts as "Good"?

As a rough guide, higher is better and context matters, but commonly:

  • Below 1 — modest risk-adjusted return.
  • Around 1–2 — solid.
  • Above 2 — very strong (and worth double-checking for overfitting or too short a sample).

Be sceptical of implausibly high numbers — they often signal a backtest that's been curve-fit rather than a durable edge (see reading backtest metrics).

The Limits You Must Know

  • It treats all volatility as "risk." Including upside swings — big gains get penalised the same as big losses, which isn't how investors actually feel.
  • It assumes fairly normal returns. Strategies with rare, severe crashes can look deceptively smooth until the crash arrives.
  • It's historical. Like every metric, it describes the past and guarantees nothing.

Related measures (like the Sortino ratio, which only counts downside volatility) address some of these — but Sharpe remains the common starting point.

FAQ

What does the Sharpe ratio measure?

It measures return per unit of risk — your return above a risk-free baseline, divided by volatility. A higher Sharpe ratio means you earned more reward for the ups and downs you endured.

What is a good Sharpe ratio?

As a rough guide, below 1 is modest, 1–2 is solid, and above 2 is very strong. But context matters, and unusually high numbers are worth double-checking for overfitting or too short a test period.

What are the limitations of the Sharpe ratio?

It treats all volatility as risk (penalising upside swings too), assumes fairly normal returns (so it can understate crash-prone strategies), and is historical — it describes the past and guarantees nothing about the future.

Is this financial advice?

No. This is educational content. Investing involves risk, including loss of principal; decisions are your own.

Conclusion

The Sharpe ratio turns a raw return into an honest one by asking how much risk bought it. Use it to compare strategies fairly, respect its limits, and distrust numbers that look too good. A smoother path to the same return is usually the better real-world strategy. EXCAVO STOCKS is built to balance return against risk, not chase return alone — see the strategy.

Disclaimer: Backtested results are historical and not a guarantee of future performance. This is educational content, not financial advice. Investing involves risk, including loss of principal.

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