What Is a Good Calmar Ratio? Benchmarks and Formula
July 22, 2026 · Agenttrading · Last updated July 2026
- 1 THESIS
- 2 EVIDENCE
- 3 BACKTEST
- 4 RISK
- 5 VERDICT
02 EVIDENCE · FUNDAMENTALS
04 RISK · IN PLAIN ENGLISH
Past performance does not guarantee future results. Educational analysis only, not financial advice.
A good Calmar ratio is generally above 0.5, and anything above 1.0 is strong for a long-only equity strategy. The Calmar ratio divides annualized return by maximum drawdown, so it asks one blunt question: how much return did this strategy pay you per unit of the worst loss you had to sit through? A ratio of 1.0 means the annual return equaled the deepest peak-to-trough decline. Below 0.3, the pain is buying you very little.
It is the metric that matches how investors actually experience a strategy, because nobody quits over standard deviation. They quit in a drawdown.
The Calmar ratio formula
The calculation is deliberately simple, which is part of why it survived.
| Element | Definition |
|---|---|
| Calmar ratio | Annualized return divided by maximum drawdown |
| Annualized return | Compound annual growth rate (CAGR) over the test window |
| Maximum drawdown | Largest peak-to-trough decline, expressed as a positive percentage |
| Standard window | Traditionally 36 months; longer windows are common in backtests |
A strategy compounding at 12% a year with a 24% worst drawdown has a Calmar ratio of 0.5. Same strategy, 40% drawdown, and the ratio drops to 0.3. Nothing about the return changed. What changed is the price you paid in fear to earn it.
What is a good Calmar ratio? Honest benchmarks
Context first: these are rough bands from long-only equity and multi-asset strategies, not guarantees, and they shift with market regime and asset class.
| Calmar ratio | Reading | What it usually means in practice |
|---|---|---|
| Below 0.3 | Weak | The drawdown is large relative to what you earn for it |
| 0.3 to 0.5 | Acceptable | Roughly where buy-and-hold US equities land over long windows |
| 0.5 to 1.0 | Good | A real improvement in return per unit of pain |
| 1.0 to 3.0 | Strong | Uncommon and worth stress-testing hard before believing |
| Above 3.0 | Suspicious | Usually a short window, missing costs, or an overfitted rule |
The last row is the one that saves people money. A backtest showing a Calmar ratio of 5 has almost always avoided a bear market, ignored trading costs, or been tuned until the past looked obedient. Extend the window to include 2008, 2020, and 2022 and the number usually collapses to something believable.
Calmar ratio vs Sharpe ratio
They measure different kinds of risk, and reading both is more useful than arguing about which wins. Sharpe divides excess return by the standard deviation of returns, so it treats all volatility as risk, including upside volatility. Calmar divides return by the single worst drawdown, so it ignores day-to-day choppiness entirely and focuses on the deepest hole.
| Calmar ratio | Sharpe ratio | Sortino ratio | |
|---|---|---|---|
| Risk measure | Maximum drawdown | Standard deviation of all returns | Standard deviation of downside returns |
| Penalizes big up moves | No | Yes | No |
| Captures worst-case pain | Yes, directly | Only indirectly | Only indirectly |
| Rough "good" level | Above 0.5 | Above 1.0 | Above 1.0 |
| Main weakness | Depends on one single event | Punishes upside volatility | Ignores drawdown depth |
The practical difference: a strategy can post a respectable Sharpe ratio while carrying a 55% drawdown, because the losses arrived smoothly. Calmar refuses to let that pass. Conversely, a strategy with one brutal but brief decline gets punished hard by Calmar and barely dinged by Sharpe. Neither is lying. They are answering different questions.
Calmar ratio vs Sortino ratio
Sortino is the closer cousin, since both ignore upside volatility. Sortino measures the dispersion of losing periods, which describes how bumpy the downside was. Calmar measures the depth of the single worst hole. A strategy that grinds out many small losses looks bad on Sortino and can look fine on Calmar. A strategy that behaves for years and then loses 45% in one stretch looks fine on Sortino and terrible on Calmar. Reading the pair tells you the shape of your losses.
What is the Calmar ratio used for?
It was introduced in 1991 by Terry Young for evaluating commodity trading advisors, using a rolling 36-month window, and it spread because managed futures investors care intensely about drawdown. Today it shows up in three places: comparing strategies whose returns look similar but whose worst losses do not, sizing a position against a drawdown you could actually survive, and sanity-checking a backtest that looks too good. That third use is where retail investors get the most out of it.
Is a higher Calmar ratio always better?
Not blindly. The ratio rests on a single observation, the largest drawdown in the window, and a single observation is fragile. Shorten the test period and you may exclude the crash that defined the strategy's real risk, which inflates the ratio without changing anything about the strategy. Lengthen it and you catch a worse drawdown, which lowers the ratio while telling you more truth. Any Calmar ratio quoted without its window is close to meaningless, and that is the most common way the number is misused in marketing.
How to use Calmar without fooling yourself
- Always state the window. "Calmar of 0.8 over 20 years including 2008, 2020, and 2022" is a claim. "Calmar of 0.8" alone is not.
- Read it next to the drawdown itself. A 0.6 built on a 15% drawdown is a very different life from a 0.6 built on a 50% drawdown, even though the ratio matches.
- Check recovery time. Depth is half the story. A 30% drawdown that recovered in eight months and one that took four years feel nothing alike, and Calmar cannot see the difference.
- Include costs before you compute it. Trading costs come out of the numerator and often leave the denominator untouched, so an active strategy's Calmar falls fast once costs are real.
- Compare to buy-and-hold on the same window. If your rule cannot beat holding the index on Calmar, it is asking you to accept complexity for nothing.
Which risk metric should you actually watch?
If you are picking one number, drawdown depth and recovery time beat every ratio, because they describe the experience you have to survive. If you are picking two, pair Sharpe with Calmar: one tells you how smooth the ride was, the other how deep the worst hole got. Ratios compress a lot into one figure, and compression always hides something. The safest habit is to treat any ratio as a prompt to go look at the underlying curve, not as a substitute for it.
Every backtest Agenttrading runs reports the return, the maximum drawdown, and the risk picture in plain language rather than a wall of ratios, then stamps a one-line verdict: HELD UP, MIXED, or UNDERPERFORMED, including when the idea loses to buy-and-hold. You type the thesis in plain English, it restates the rule before running, tests it on 20+ years of split- and dividend-adjusted daily data with a 0.1% cost per trade assumed by default, and prints every assumption. It is educational analysis only, never advice, and it never places a trade.
The companion metrics are covered in what is a good Sharpe ratio and what is a good Sortino ratio, the drawdown itself in maximum drawdown explained. To see the numbers on your own idea, the workflow lives on backtesting software and the risk panel on investment risk analysis.
Put it on the bench
Ideas are cheap. Verdicts take a bench.
Agenttrading restates your idea as a testable rule, backtests it on 20+ years of adjusted daily data, and explains the risks in plain English. Honest verdicts, even when the idea loses.
Past performance does not guarantee future results. For educational and informational purposes only. Not financial advice. Consult a licensed advisor.