Drawdown Recovery: Why a 10% Loss Needs an 11.1% Gain
Calculate the gain needed after a drawdown. Use a recovery table, worked balance examples and a worksheet for comparing risk scenarios.
A 10% loss requires an 11.1% gain to recover because the gain starts from a smaller balance. After a 50% loss, recovery requires 100%. The arithmetic is simple, but it changes how you should read a backtest's losing periods.
This article explains the formula, a recovery table and a worksheet for comparing practice scenarios. It does not prescribe a personal risk level or promise that a strategy will recover.
Use the correct denominator
Suppose a hypothetical account starts at $10,000 and falls to $9,000. The loss is $1,000, or 10% of the original $10,000. To return to the starting value, it must earn $1,000 from the remaining $9,000:
required gain = 1,000 ÷ 9,000 = 11.11%
For a drawdown D expressed as a decimal, the required recovery gain is:
recovery = D ÷ (1 − D)
The formula assumes no deposits or withdrawals during the comparison. External cash flows require a separate adjustment if you want to measure trading performance.
Drawdown recovery table
| Drawdown from peak | Value remaining from $10,000 | Gain needed to recover |
|---|---|---|
| 5% | $9,500 | 5.26% |
| 10% | $9,000 | 11.11% |
| 15% | $8,500 | 17.65% |
| 20% | $8,000 | 25.00% |
| 25% | $7,500 | 33.33% |
| 30% | $7,000 | 42.86% |
| 40% | $6,000 | 66.67% |
| 50% | $5,000 | 100.00% |
The asymmetry increases as the loss grows. It is a mathematical relationship, not evidence that a particular account will achieve the required gain.
A drawdown is a sequence, not one bad trade
Maximum drawdown measures the largest decline from an earlier peak to a later trough in the chosen series. State whether you are using closed-trade balance or equity that includes open positions. The two can give different results.
For example, a hypothetical balance sequence of 10,000 → 10,500 → 9,450 → 10,100 has a 10% decline from the 10,500 peak to the 9,450 trough. Ending above the original 10,000 does not erase that experience.
Keep the chronological trade record in your journal. Sorting trades by profit before evaluating drawdown destroys the sequence you need to measure.
What happens when position size changes?
Suppose a fixed-dollar practice model risks $100 per trade and loses ten full-risk trades without other outcomes. Before costs, it is down $1,000. Recovering that amount at an average future net result of $20 per trade would take fifty trades if that average were realized exactly.
That is arithmetic under a hypothetical assumption, not a forecast. Actual outcomes vary, and changing risk changes the monetary result per trade. If you cut size, a given R outcome produces a smaller dollar change; if you increase size, both favorable and adverse movements grow.
Keep a size change visible in the record. Do not compare the first half of a backtest at one size with the second half at another and attribute the entire difference to strategy quality.
Compare recovery scenarios without rewriting history
Make copies of the same chronological trade sequence and apply a few rules chosen in advance. For example, compare constant quantity with a predefined reduction after a stated drawdown threshold.
Record the threshold, new size, reset condition and any minimum tradable quantity. A theoretical half-contract may not be available on the instrument you selected. Include costs and keep assumptions consistent across versions.
Compare total net result, maximum drawdown and time below the prior peak. A smaller decline can come with a slower recovery or a lower final result. That tradeoff deserves to be shown rather than hidden behind a single favorable statistic.
Do not mistake a losing streak for proof of failure
A strategy can produce consecutive losses even when its longer-run expected outcome is positive. Equally, a positive historical average can be a poor estimate of future behavior. The observed sample, changing market conditions and correlations between trades all matter.
Avoid claiming that a particular streak “must happen every N trades” without a defensible probability model. Review the win-rate and risk-reward relationship and keep the sample size alongside the estimated expectancy.
A practical replay review
Pick an existing block of simulated trades and reconstruct its balance sequence. Mark every new peak, the deepest subsequent trough and how long the sequence stayed below the peak. Check whether open-position losses would change the picture.
Then choose one new practice objective. It could be following a daily session limit or applying the original setup consistently after a loss. Make the objective observable instead of asking yourself to “be more disciplined.”
Start a TestMax replay session and record the sequence, including skipped days and losing trades. Free access includes a limited recent history window on NQ, ES and other eligible instruments; MNQ, MES and GC require Pro. See current plans for access details.
A recovery table explains how much must be regained. Your complete trade record helps you investigate whether the assumptions behind that recovery are credible.