Max Drawdown vs. Average Drawdown

You probably know your worst month. It is the number that made you check your account twice, the day the equity curve fell off a cliff. That number is your maximum drawdown, and most traders treat it as the whole story of their risk.

It is not the whole story. Maximum drawdown tells you the single deepest hole you have ever climbed out of. It says nothing about how often you find yourself in a hole, how deep the typical one runs, or how long you sit at the bottom. For that you need average drawdown, and reading the two together changes how you judge whether a strategy is actually survivable.

TL;DR

• Maximum drawdown is your worst single peak-to-trough decline, ever. It answers "how bad has it gotten."
• Average drawdown is the mean of all your drawdowns over a period. It answers "how bad is it, normally."
• A strategy can have a scary max drawdown that happened once, or a comfortable max drawdown that it revisits every few weeks. The single number cannot tell those apart.
• Recovery is asymmetric: a 50% drawdown needs a 100% gain to break even. Depth compounds against you.
• Judge a strategy on the pair (plus recovery time), not on the worst number alone.

What each metric actually measures

A drawdown is the decline from a historical peak in your equity. Every time your account makes a new high and then falls before making the next high, that dip is a drawdown. Formally, the drawdown at time T is the gap between the highest value reached up to that point and the current value (Wikipedia: Drawdown (economics)).

Maximum drawdown (MDD) is the largest of all those dips: the worst peak-to-valley loss since inception, expressed as a percentage of the peak. The standard formula is straightforward:

Drawdown (%) = (Peak Value − Trough Value) / Peak Value × 100

Maximum drawdown is simply the biggest value that expression ever produced across your history. It is the number most platforms show first, and for good reason. Unlike standard deviation, it captures the magnitude of a real loss you would have lived through, not an abstract measure of variability.

Average drawdown (AvDD) is the mean of all your drawdowns over the period — the average depth of the dips you actually sat through, from the shallow ones to the occasional deep one (Wikipedia: Drawdown (economics)). If maximum drawdown is the worst-case, average drawdown is the typical experience. It answers a quieter but more honest question: on a normal stretch, how much pain does this strategy hand me?

The two describe different halves of the same risk.

Why the single worst number misleads you

Two strategies can share the exact same maximum drawdown and feel nothing alike.

Suppose both report a 20% max drawdown. Strategy A hit that 20% once, three years ago, during a market shock, and has otherwise traded inside a tight 4% band. Strategy B grinds down 18% to 20% roughly every quarter, then claws back. Same headline number. Completely different lives.

Strategy A's average drawdown might be 3%. Strategy B's might be 12%. If you only look at the max, you would rate them as equally risky. In practice, Strategy B will test your nerve four times a year, and every one of those tests is a chance to abandon the plan at the worst moment. The gap between the maximum and the average is the tell: a max drawdown far above the average usually means a one-off event, while a max drawdown close to the average means the deep dips are a normal feature of the strategy, not an accident.

This is the same trap that makes a headline return figure deceptive. A single summary number flattens a distribution, and the distribution is where the risk lives. We walk through the return version of this problem in why simple return is misleading, and the logic carries straight over to drawdown.

The recovery math that makes depth non-negotiable

Drawdown depth is not linear in how hard it is to escape. Recovering from a loss always requires a larger percentage gain than the loss itself, and the gap widens fast as the hole gets deeper.

The formula is simple:

Required gain = 1 / (1 − drawdown) − 1

Run it and the asymmetry is stark (TradeZella: Drawdown Recovery):

• A 10% drawdown needs about an 11.1% gain to recover.
• A 20% drawdown needs a 25% gain.
• A 50% drawdown needs a 100% gain.
• A 75% drawdown needs a 300% gain just to break even.

This is why preventing a deep drawdown matters far more than any plan to trade your way out of one. Once you are 50% down, the market has to double your remaining capital before you are back to even. Average drawdown keeps you honest here, because it shows whether your typical dip lives in the forgiving zone (single digits, where recovery is nearly symmetric) or drifts toward the region where the math turns against you.

Reading the pair together (and adding time)

Neither number is useful in isolation. Use them as a set.

The ratio of max to average. A max drawdown several times larger than the average points to tail risk: rare, violent events that dominate the worst case. A max drawdown close to the average points to a strategy whose bad days look a lot like its normal days. The first profile can be sized around; the second is baked into the method.

Recovery time. Depth is only half of pain. The other half is duration, the longest stretch your account spent underwater between one equity high and the next (Wikipedia: Drawdown (economics)). A 15% drawdown that recovers in two weeks is a different animal from a 15% drawdown that grinds sideways for eight months. The longer you sit below your peak, the more likely you are to change the strategy out of frustration, which is often the real reason a plan fails.

Return per unit of drawdown. Analysts formalize this with the Calmar ratio, which divides annualized return by maximum drawdown. A Calmar above 1 means your annual return exceeds your worst drawdown; higher is better (Bajaj Finserv AMC: Calmar Ratio). It is a quick way to ask whether the returns a strategy produces are worth the depth of hole it puts you in.

Position sizing as the lever. You do not have to accept a strategy's raw drawdown profile. Most risk frameworks cap per-trade risk at 1% to 2% of equity and total open risk well below that in aggregate, precisely to keep the tail of the drawdown distribution away from the region where recovery math turns brutal. Smaller size shrinks both the max and the average; it is the most direct control you have over the pair.

If you track your trades in R-multiples, the drawdown story connects directly to your risk unit. A run of losing trades at 1R each produces a predictable drawdown, and comparing that expected dip to your actual worst dip tells you whether an outlier trade or a sizing lapse blew past your plan. We cover the mechanics in tracking R-multiple in your journal.

Where the numbers come from

Both metrics are only as trustworthy as the equity curve underneath them, which is where measurement quality matters.

A drawdown series built on raw deposits and withdrawals will lie to you, because a withdrawal looks like a loss and a deposit hides one. Drawdown should be computed on a return series that strips out your own cash flows, the same reason serious performance measurement uses time-weighted return rather than the change in your account balance. If your equity curve includes the money you added, your drawdown is measuring your funding schedule, not your trading.

The cleaner your underlying record, the more the max-versus-average comparison actually means. Consistent, cash-flow-adjusted equity data is the whole game, and it is worth setting up before you start drawing conclusions from either number. Our guide on how to track your portfolio performance walks through building that record.

This is the kind of thing a journal computes for you. TradeReveal's analytics derive drawdown and the surrounding metrics from your logged trades and positions, so the equity curve reflects your trading rather than your deposits, and you can see the worst dip and the typical one side by side. That is table stakes for judging survivability, and it is part of the free core.

Frequently Asked Questions

Is maximum drawdown always a percentage?

It is usually expressed as a percentage of the peak, which is what makes it comparable across accounts of different sizes (Ryan O'Connell, CFA: Maximum Drawdown). Some traders also track the dollar figure, but the percentage is the standard for comparing strategies.

What is a good maximum drawdown?

There is no universal threshold, because it depends on your strategy, timeframe, and tolerance. The more useful question is whether the max is far above your average (a rare tail event you can size around) or close to it (a normal feature of the method). Depth matters too: drawdowns beyond roughly 30% start to demand recovery gains that grow steeply, so most risk-conscious traders work hard to stay well under that.

Can average drawdown be higher than maximum drawdown?

No. By definition the maximum drawdown is the single largest drawdown, so the average of all drawdowns is always less than or equal to it. If a tool reports the reverse, it is measuring something differently, and you should check the definition it is using.

How is average drawdown different from average loss per trade?

They measure different things. Average loss per trade is about individual trades. Average drawdown is about your equity curve: how far below its peak your whole account typically sits, which can span many trades. A single losing trade contributes to average loss; a losing streak plus a slow recovery is what drives average drawdown.

Which one should I optimize for?

Neither in isolation. Optimize for a survivable pair: a maximum drawdown you can stomach, an average drawdown that keeps you in the forgiving zone, and a recovery time short enough that you do not abandon the plan. Position sizing is the lever that moves all three at once.

Final Thoughts

The worst number is seductive because it is dramatic, and drama is memorable. But your account does not live in its worst moment. It lives in the long middle, the ordinary dips you sit through week after week, and that is exactly what maximum drawdown hides and average drawdown reveals.

Read them as a pair. Add recovery time. Check that the equity curve underneath is measuring your trading and not your cash flows. A strategy is survivable when its normal pain is bearable and its worst pain is rare and recoverable, and no single number can tell you all three.

Sources

• Wikipedia: Drawdown (economics)
• TradeZella: Drawdown Recovery, The Math Behind Getting Back
• Ryan O'Connell, CFA: Maximum Drawdown, Calculate & Manage Portfolio Risk
• Bajaj Finserv AMC: Calmar Ratio, Meaning, Formula, and How It Helps Measure Investment Risk

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Happy Trading,

The TradeReveal Team