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Trading glossary

Sharpe Ratio
return per unit of volatility.

The Sharpe ratio measures how much return you earn for each unit of volatility you sit through. It is the average excess return (return above a risk-free rate) divided by the standard deviation of those returns. A higher Sharpe means smoother returns for the risk taken. It was introduced by William Sharpe and is the standard yardstick in fund management.

The math behind it

Sharpe = (mean return − risk-free rate) ÷ standard deviation of returns annualised Sharpe × √(periods per year) e.g. √252 for daily returns

The inputs must be returns over equal time periods (days, weeks, months). That is why annualising needs care: √252 only applies to daily returns.

An example with numbers

Over 21 trading days your account returns an average of 0.12% a day with a standard deviation of 0.80%.

daily Sharpe = 0.12 ÷ 0.80 = 0.15 annualised = 0.15 × √252 = 0.15 × 15.87 = 2.38 with 4% risk-free = (0.12 − 0.0159) ÷ 0.80 × 15.87 = 2.07

The daily risk-free figure is 4% ÷ 252 = 0.0159% a day. A month is also a tiny sample: one more volatile week could halve the number, so treat a 21 day Sharpe as a rough read, not a grade.

Mistakes to avoid

What the journal does with it

The journal's Sharpe Ratio is calculated per trade: average trade P&L ÷ standard deviation of trade P&L. It is not annualised, so compare it with your own past months rather than with a fund's published figure. Pro Metrics adds the Sortino Ratio (mean return ÷ downside deviation) and the Calmar Ratio (annualised return ÷ max drawdown).

Full statistics panel in the RB Trading journal with the Sharpe ratio, total R-multiple and average R:R
The Full Statistics panel, Sharpe ratio first (demo account).

See your own Sharpe Ratio from real trades

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Related terms and tools

Max Drawdown Profit Factor Expectancy Drawdown Monte Carlo simulator Drawdown Recovery Calculator
By RB Trading · Last updated 8 October 2026 · Back to the full glossary