At a glance
- Definition
- The decline from an equity peak to the subsequent trough
- Two dimensions
- Depth and duration; duration usually matters more
- Planning rule
- Expect worse than your backtest showed
- Key insight
- Drawdown is experienced, returns are only reported
Key takeaways
- Maximum drawdown in a backtest is a sample statistic, not a limit. Live drawdowns frequently exceed it, and you should plan for roughly 1.5 times the historical figure.
- Time underwater is the more damaging dimension: a 15 percent drawdown lasting two years breaks more traders than a 30 percent drawdown lasting two months.
- Drawdowns compound asymmetrically, which is why controlling them matters more than maximising returns.
- Monte Carlo resampling of your own trade sequence gives a realistic distribution of possible drawdowns rather than the single path history happened to produce.
- The response to a drawdown must be written before it occurs, because judgement during one is systematically poor.
The measurements that matter
- Drawdown
- The percentage decline from a previous equity peak to the current value. It is always measured from a peak, so a new high resets it to zero.
- Maximum drawdown
- The largest such decline over a period. The most quoted risk statistic and the most misunderstood, because it describes one historical path.
- Drawdown duration
- The time from the peak to the trough. Measures how long conditions were deteriorating.
- Time underwater
- The time from the peak until a new peak is reached. Usually far longer than the duration and the figure that determines whether you stay with a strategy.
- Ulcer index
- A measure combining depth and duration, giving more weight to long, deep declines than to brief sharp ones.
- Recovery factor
- Total return divided by maximum drawdown. A rough measure of return earned per unit of pain.
- Calmar ratio
- Annualised return divided by maximum drawdown, commonly used to compare systematic strategies.
Why duration matters more than depth
A sharp 25 percent decline that recovers in three months is unpleasant. A 15 percent decline that grinds sideways for two years is far more corrosive, because every month brings fresh evidence that the strategy might be broken, and there is no way to distinguish a normal flat period from a genuine failure in real time.
| Strategy | Typical max drawdown | Typical time underwater | What it feels like |
|---|---|---|---|
| Diversified trend following | 20 to 35% | 12 to 36 months | Long stretches of nothing, then rapid recovery |
| Equity momentum | 30 to 50% | 12 to 24 months | Sharp losses at market turning points |
| Short-term mean reversion | 10 to 25% | 3 to 12 months | Steady gains punctuated by sudden losses |
| Premium selling | 15 to 40% | 1 to 6 months | Calm for months, then a single severe event |
| Buy and hold equities | 30 to 55% | 24 to 60 months | Slow, public, and widely discussed |
Estimating the drawdown you will actually face
- 1
Start with the backtested maximum
Record both depth and time underwater. This is your baseline, not your expectation.
- 2
Resample the trade sequence
Run a Monte Carlo simulation that reshuffles your historical trades thousands of times. The distribution of maximum drawdowns will contain many outcomes worse than the historical one, because history produced only one ordering.
- 3
Take the 95th percentile, not the median
Plan around the bad draws. If the 95th percentile drawdown is 34 percent, that is the figure your position sizing and your emotional preparation should assume.
- 4
Add a margin for edge decay
Live performance is typically worse than backtested performance. A common rule of thumb is to expect drawdowns 1.5 times the historical maximum.
- 5
Check whether that figure is tolerable
If not, reduce position size until it is. Halving risk per trade roughly halves the drawdown, at the cost of roughly halving the return.
- 6
Write the number down
Record the expected worst case in your trading plan. When it occurs, the plan will say that this was anticipated, which is exactly the information you will need.
Responding to a drawdown
There are only three legitimate explanations for a drawdown, and each has a different response. The purpose of a prewritten schedule is to work out which applies without making the decision under stress.
| Cause | How to identify it | Response |
|---|---|---|
| Normal variance | Drawdown within the Monte Carlo distribution; rules followed | Continue unchanged; reduce size at predefined thresholds |
| Execution failure | Journal shows deviations, slippage above assumption, missed signals | Fix the process, not the strategy |
| Edge decay or regime change | Drawdown beyond the simulated distribution; win rate or payoff structurally changed | Stop trading, re-examine, consider retirement |
Structural ways to reduce drawdown
- Reduce position size. The most direct lever, and it works proportionally. Half the risk per trade produces roughly half the drawdown.
- Add uncorrelated strategies. Combining families that fail in different conditions reduces aggregate drawdown more reliably than improving any single strategy.
- [Volatility targeting](/library/risk-management/volatility-targeting). Reducing exposure when volatility rises cuts the depth of crisis drawdowns, since they occur in high-volatility regimes.
- Drawdown-based de-risking. Halving size after a defined decline extends survival, at the cost of slower recovery.
- Trend filters. Exiting when a long-term trend breaks avoids the extended portion of sustained declines, at the cost of whipsaws.
- Diversify across markets, not tickers. Ten equity positions are one market. Adding rates, commodities, and currencies genuinely reduces the shared exposure.
Frequently asked questions
What is an acceptable maximum drawdown?
Whatever you can hold through without abandoning the strategy, which for most individuals is 15 to 25 percent. The correct approach is to determine that figure honestly, then size positions so the expected worst case fits inside it, rather than accepting whatever drawdown your chosen size produces.
Will my live drawdown be worse than my backtest?
Usually yes. Backtests suffer from optimistic fills, selection of the best parameters, and a single historical ordering of trades. A reasonable planning assumption is 1.5 times the backtested maximum, and a Monte Carlo simulation of your trade sequence will show why that is not pessimistic.
Should I stop trading during a drawdown?
Only at a level you defined in advance, and only to review rather than to abandon. Stopping at an arbitrary point usually means stopping near the bottom, which converts a temporary decline into a permanent loss. A written schedule that reduces size progressively is a better mechanism than a binary decision made under stress.
How long do drawdowns typically last?
It varies by strategy family: short-term mean reversion recovers in weeks to months, trend following can spend one to three years underwater, and buy-and-hold equity drawdowns have taken five years or more to recover. Know your strategy’s historical distribution before you need it.
What is the difference between drawdown and volatility?
Volatility measures the typical size of fluctuations in both directions; drawdown measures the cumulative decline from a peak. A strategy can have modest volatility and a large drawdown if losses are persistent and correlated, which is common in premium-selling and carry strategies.
Test this idea before you trade it
Describe the rules in plain language and AlgoTrader AI turns them into a structured strategy blueprint with a configurable historical backtest, cost assumptions, and exportable code.
Build a backtestKeep reading
- RiskRisk Management in Trading: The Complete Guide
- BacktestingMonte Carlo Simulation for Trading Strategies
- BacktestingTrading Performance Metrics: What Each One Hides
- PsychologySurviving Drawdowns: Staying With a Strategy That Is Working
- RiskVolatility Targeting: Sizing by Risk Instead of by Capital
- RiskPosition Sizing Guide: How Many Shares or Contracts to Trade
Referenced by
Educational use only. This guide explains how a strategy works. It is not investment advice, not a recommendation, and no result described here is a forecast. Test any approach on historical and out-of-sample data, size positions conservatively, and never risk money you cannot afford to lose.