Finance & Economics · Quantitative Trading & Crypto
Sharpe Ratio Calculator
Calculate the Sharpe Ratio to measure risk-adjusted return of an investment or trading strategy relative to a risk-free rate.
Calculator
Formula
S is the Sharpe Ratio; R̄_p is the mean portfolio return over the period; R_f is the risk-free rate for the same period; σ_p is the standard deviation of the portfolio's excess returns (R_p − R_f).
Source: Sharpe, W.F. (1994). 'The Sharpe Ratio.' Journal of Portfolio Management, 21(1), 49–58.
How it works
The Sharpe Ratio is calculated by subtracting the risk-free rate from the portfolio's mean return to obtain the excess return, then dividing by the standard deviation of those excess returns. The risk-free rate is typically represented by short-duration government securities — such as the 3-month U.S. Treasury bill — and serves as a baseline for what an investor could earn without accepting any meaningful risk. By netting this baseline out of portfolio performance, the Sharpe Ratio isolates the compensation earned purely for bearing market risk.
The denominator, standard deviation, captures total volatility — both upside and downside price swings. This is an important distinction from metrics like the Sortino Ratio, which penalises only downside volatility. Because the Sharpe Ratio uses total standard deviation, a strategy that generates unusually high positive returns will appear slightly penalised relative to a smoother strategy with identical average returns, since the large positive deviations increase σ. For normally distributed returns, however, this effect is symmetric and the ratio remains a robust summary statistic.
When working with daily or monthly return series, practitioners often annualise the Sharpe Ratio by multiplying by the square root of the number of periods in a year: √252 for daily trading returns, √52 for weekly, or √12 for monthly. This scaling is derived from the assumption that returns are independent and identically distributed (i.i.d.), which allows variance to scale linearly with time. A daily Sharpe of 0.10 therefore corresponds to an annualised Sharpe of approximately 1.59, a figure considered strong for a diversified long-only strategy.
Worked example
Suppose a cryptocurrency trading strategy produced a mean monthly return of 3.2%, while the risk-free rate (annualised 5.4%, divided by 12) equals 0.45% per month. The standard deviation of the strategy's monthly returns is 6.8%.
Step 1 — Excess Return: 3.2% − 0.45% = 2.75%
Step 2 — Sharpe Ratio (monthly): 2.75% ÷ 6.8% = 0.4044
Step 3 — Annualise (×√12): 0.4044 × 3.4641 = 1.401
An annualised Sharpe Ratio of approximately 1.40 is considered good for an active trading strategy. It tells you that for every unit of total risk accepted, the strategy delivered 1.40 units of risk-adjusted excess return above the risk-free rate. Most hedge funds target a Sharpe above 1.0; strategies above 2.0 are considered exceptional and are often scrutinised for data-snooping or overfitting.
Limitations & notes
The Sharpe Ratio assumes that returns are approximately normally distributed, making it less reliable for strategies with significant skewness or excess kurtosis — such as options-selling, event-driven, or momentum strategies that exhibit fat tails and occasional large drawdowns. A strategy that earns steady small gains but suffers rare catastrophic losses can display an artificially high Sharpe Ratio over short sample periods. Additionally, the choice of risk-free rate and the annualisation period materially affects the output, so comparisons are only valid when these inputs are consistent. For strategies with non-normal return profiles, the Sortino Ratio, Calmar Ratio, or Omega Ratio may provide complementary and more appropriate measures of performance.
Frequently asked questions
What is a good Sharpe Ratio?
As a general benchmark, a Sharpe Ratio below 1.0 is considered suboptimal for an active strategy, between 1.0 and 2.0 is good, between 2.0 and 3.0 is very good, and above 3.0 is considered exceptional. However, context matters enormously — a long-only equity fund is evaluated differently from a high-frequency trading algorithm, and the time period and market regime significantly influence what is achievable.
How does the Sharpe Ratio differ from the Sortino Ratio?
The Sharpe Ratio uses the total standard deviation of returns in its denominator, penalising both upside and downside volatility equally. The Sortino Ratio refines this by using only the downside standard deviation — the standard deviation of returns below a target or the risk-free rate — which makes it more appropriate for strategies with positively skewed returns where high upside volatility should not be penalised.
Why do I multiply by √252 to annualise a daily Sharpe Ratio?
Under the assumption that daily returns are independent and identically distributed, variance scales linearly with time, meaning annual variance equals 252 times daily variance. Since standard deviation is the square root of variance, annual standard deviation equals daily standard deviation times √252. Both the numerator (mean return) and denominator (standard deviation) scale accordingly, and the net effect on the Sharpe Ratio is multiplication by √252.
Can the Sharpe Ratio be negative, and what does it mean?
Yes — a negative Sharpe Ratio occurs when the portfolio's mean return is below the risk-free rate, meaning the investor would have been better off holding risk-free assets. While a negative Sharpe Ratio technically indicates poor performance, it is difficult to interpret in a standardised way because a strategy with a very negative return but very high volatility appears less bad than one with a slightly negative return and low volatility, which is counterintuitive.
What risk-free rate should I use for crypto or 24/7 markets?
For cryptocurrency strategies, the choice of risk-free rate is debated since crypto markets operate 24/7 and 365 days per year. Common choices include the U.S. 3-month T-bill rate (annualised and scaled to the measurement period), the Fed Funds rate, or even stablecoin lending rates on DeFi protocols. When annualising daily crypto returns, many practitioners use √365 instead of √252 to reflect continuous market operation, though √252 remains the convention for comparability with traditional finance.
Last updated: 2025-01-15 · Formula verified against primary sources.