The Calmar ratio
The Calmar ratio asks the bluntest risk question: how much return did the strategy earn per unit of its worst historical loss?
- Solid
- >1
- yearly return beat the worst drawdown
- Excellent
- >3
- verify the window covered rough markets
The Calmar ratio, explained.
The Calmar ratio is a risk-adjusted performance measure that divides a strategy's annualized return by its maximum drawdown — the worst peak-to-trough decline over the period. A Calmar of 2 means the strategy's yearly return was twice as large as its worst historical loss.
Where Sharpe and Sortino measure risk as the ongoing wobble of returns, Calmar measures it as the single worst experience. That maps directly onto how traders actually feel risk: a strategy is abandoned not because its daily variance was high, but because it fell 40% from its peak and the owner lost faith.
Calmar's weakness is the flip side of its bluntness: maximum drawdown is a single event, so one freak candle dominates the whole ratio, and short backtests simply have not had time to show their true worst case. It is best read over long windows, alongside Sharpe, Sortino, and the drawdown itself — and, like all of them, it describes the past.
From idea to a running bot.
The ratio combines two numbers every backtest already reports.
Annualize the return
Convert the strategy's total return over the test window into a yearly rate (its CAGR), so different test lengths become comparable.
Find the maximum drawdown
Scan the equity curve for the deepest percentage fall from any peak to the subsequent trough — the strategy's worst historical stretch.
Divide and judge
Annualized return over max drawdown gives the Calmar ratio. Above 1 means the yearly return outweighed the worst loss; well below 1 means the pain outweighed the profit.
Built for the way you trade.
Calmar speaks to anyone who has lived through a drawdown.
Risk-first traders
If your first question about a strategy is 'how bad did it get?', Calmar bakes that question into the headline score.
Strategy comparers
Two strategies with equal returns can have wildly different worst cases. Calmar ranks the one that made its money without a catastrophic dip first.
VolatiCloud backtesters
VolatiCloud backtests report Calmar with Sharpe, Sortino, and max drawdown, and Monte Carlo simulation can stress the drawdown estimate further.
- Annualized return divided by maximum drawdown
- Risk measured as the single worst historical loss
- Above 1: yearly return exceeded the worst drawdown
- Sensitive to test length — longer windows are more honest
- Reported in every VolatiCloud backtest
Frequently asked questions.
What is a good Calmar ratio?
Above 1 is generally considered solid (annual return larger than the worst drawdown), and above 3 excellent. Short or calm test windows inflate Calmar easily, so check the backtest covered rough markets too.
How is Calmar different from Sharpe?
Sharpe measures risk as the standard deviation of all returns — continuous wobble. Calmar measures risk as the single deepest loss. A strategy can have a fine Sharpe and a dreadful Calmar if its volatility clustered into one brutal crash.
Why does one bad candle change Calmar so much?
Because the denominator is a single event: the maximum drawdown. One flash crash resets it for the whole history. That sensitivity is by design — it reflects how one catastrophic loss actually affects a trader — but it argues for long test windows.
Where does VolatiCloud show Calmar?
In every backtest report, alongside Sharpe, Sortino, maximum drawdown, profit factor, and expectancy. For a stress view beyond the historical worst case, Monte Carlo simulation reshuffles the trades to estimate a distribution of drawdowns.
Related capabilities.
Ship your first live bot this afternoon.
Connect an exchange, build a strategy in the visual builder, backtest it on real data, and deploy. Start a 7-day Pro trial — no credit card required.
No credit card required · Cancel any time