Drawdown

Introduction

In I-038 we examined risk per trade. In I-039–I-041 we examined position sizing, fixed fractional sizing, and volatility-based sizing. In I-042 we moved to portfolio concentration, and in I-043 we examined correlation risk.

The next logical question is what happens to the account when losses accumulate over a series of trades. A single losing trade is part of normal trading. A sequence of losses, however, creates a measurable decline from a previous equity high. This decline is called drawdown.

Drawdown is therefore not simply “losing money”. It is a way of describing how far account equity or capital has fallen from a previous peak before a new peak is reached.

1. What Is Drawdown?

Drawdown is the decline from a previous equity peak to a subsequent trough, measured before the account establishes a new equity high.

If an account grows from $40,000 to $45,000 and later falls to $42,000, the drawdown from that peak is $3,000, or 6.67% relative to the $45,000 peak.

The reference point is important. Drawdown is measured from a previous high, not simply from the original account balance.

2. Absolute Loss vs. Drawdown

An absolute loss compares the current account value with a fixed reference such as the starting capital. Drawdown instead compares the current value with a previous peak.

For example, an account that started at $40,000, reached $50,000, and then fell to $46,000 is still $6,000 above the starting capital. Nevertheless, it is experiencing an 8% drawdown from the $50,000 equity peak.

This distinction matters because a trader can be profitable relative to starting capital while simultaneously being in a meaningful drawdown.

3. Equity High, Peak and Trough

Three concepts are useful:

Equity peak — the highest account equity reached before the current decline.

Trough — the lowest equity reached during that drawdown period.

Recovery — the process by which equity rises from the trough back toward and eventually above the previous peak.

The complete drawdown cycle therefore has a peak, a decline, a trough, and potentially a recovery to a new high.

4. Maximum Drawdown

Maximum drawdown, often called Max Drawdown or MDD, is the largest peak-to-trough decline observed over the period being analyzed.

It is one of the most important risk measures because it tells us how severe the worst observed capital decline was.

A strategy with high returns but extremely large drawdowns may be much harder to trade than a strategy with somewhat lower returns and substantially smaller drawdowns.

5. Percentage Drawdown

Drawdown is often expressed as a percentage:

Drawdown % = (Peak Equity − Current Equity) / Peak Equity × 100

For example, if peak equity is $50,000 and current equity is $46,000:

($50,000 − $46,000) / $50,000 × 100 = 8%

The percentage form makes drawdowns easier to compare across accounts of different sizes.

6. Why Drawdown Matters

Drawdown connects trading performance with survivability. A strategy can have positive expectancy and still experience substantial losing periods.

If the risk taken per trade is too high, a normal losing sequence can produce a drawdown large enough to change the trader's behavior, reduce available capital, or even threaten the continued operation of the strategy.

Risk management is therefore not only about controlling the loss of the next trade. It is also about keeping the account inside a range of drawdowns that the trading system and trader can realistically tolerate.

7. Drawdown and Risk per Trade

The size of individual trade risk has a direct influence on the potential speed and depth of drawdowns.

Suppose we risk 1% of capital per trade. Ten consecutive full-R losses would not mathematically produce exactly a 10% drawdown when risk is calculated as a percentage of changing equity, but the decline would be close to that magnitude and the precise result would depend on the sizing method.

If the same system risks 2% per trade, the same losing sequence produces a materially deeper decline.

The important lesson is that risk per trade is also a drawdown-control variable.

8. Drawdown Under Fixed Fractional Sizing

With fixed fractional sizing, the monetary amount risked changes as equity changes. If we risk 1% of current equity, each full loss slightly reduces the amount risked on the next trade.

This creates a compounding effect in both directions. During a losing sequence, position sizes gradually become smaller; during a winning sequence, they become larger.

Fixed fractional sizing therefore limits the speed at which a fixed percentage risk translates into monetary losses, but it does not eliminate drawdown.

9. A Simple Losing-Streak Example

Assume a $50,000 account and 1% fixed fractional risk.

After a full 1R loss, equity is approximately $49,500. The next 1% risk is calculated from the new equity rather than automatically remaining $500.

After several consecutive losses, the account declines progressively. The exact path depends on the sequence and whether every loss is exactly −1R.

This is why we should evaluate drawdown using actual equity curves rather than intuition alone.

10. Drawdown and R-Multiple

R-multiple gives us a common unit for comparing trade outcomes. If 1R equals the amount originally risked on a trade, a full stop loss is approximately −1R.

A drawdown can therefore be examined both in currency or percentage terms and in accumulated R terms.

This is useful when comparing strategies because two strategies can use different account sizes while producing comparable sequences of R outcomes.

11. Drawdown Is a Sequence Problem

The same number of wins and losses can produce different drawdowns depending on their order.

For example, a sequence that alternates between wins and losses may produce a shallow equity decline, while a sequence containing many losses together can produce a deep drawdown.

Therefore, win rate alone does not tell us the drawdown characteristics of a strategy.

The distribution and ordering of returns matter.

12. Drawdown and Win Rate

A high win rate does not guarantee a small drawdown.

A system with an 80% win rate can still suffer a losing streak. Conversely, a system with a lower win rate can maintain manageable drawdowns if losses are controlled and the payoff structure is favorable.

We therefore need to examine win rate together with expectancy, average win, average loss, R-multiple distribution, losing streaks, and drawdown.

13. Drawdown and Expectancy

Expectancy describes the average result we expect from a trade over a sufficiently large sample, based on the system's statistical characteristics.

Positive expectancy does not mean that equity will rise smoothly. A positive-expectancy system can experience long periods of stagnation or drawdown.

This is one reason why a strategy should be evaluated as a distribution of outcomes rather than as a sequence that we expect to follow a perfectly smooth path.

14. Drawdown Duration

Drawdown has both depth and duration.

Two strategies can both experience a 10% maximum drawdown, but one may recover within a few weeks while the other remains below its previous peak for many months.

The duration matters psychologically and operationally. A long recovery period can reduce confidence, tie up capital, and make a trader question a strategy that may still have valid positive expectancy.

15. Time Under Water

The period during which equity remains below its previous peak is often described as time under water.

This concept complements maximum drawdown. Maximum drawdown tells us how deep the decline was; time under water tells us how long the account remained below its prior high.

For strategy evaluation, both dimensions can matter.

16. Drawdown Recovery

Recovery is not symmetrical with the loss that created the drawdown.

After a 10% loss, the account must gain approximately 11.11% from the reduced equity to return to the previous peak.

After a 20% loss, recovery requires 25%. After a 50% loss, recovery requires 100%.

This is why avoiding unnecessarily deep drawdowns is so important: the required recovery rate increases nonlinearly as losses become larger.

17. A Practical Recovery Table

Illustrative relationship between drawdown and the return required to recover:

5% drawdown → approximately 5.26% recovery required.

10% drawdown → approximately 11.11%.

20% drawdown → 25%.

30% drawdown → approximately 42.86%.

50% drawdown → 100%.

These figures show why a 50% drawdown is not simply “five times worse” than a 10% drawdown from a recovery perspective.

18. Drawdown and Portfolio Concentration

I-042 showed that several positions can create concentration even when the number of tickers is high. Concentration can make drawdowns deeper because several positions may lose at the same time.

A portfolio-level drawdown therefore cannot be understood only by looking at the stop risk of one trade.

19. Drawdown and Correlation

I-043 showed that correlated positions can turn several apparently independent trades into a common-factor exposure.

When correlated positions lose together, the equity curve can decline faster than expected from looking at individual trades in isolation.

Correlation is therefore one of the structural factors that can influence drawdown severity.

20. Drawdown and Volatility

Higher volatility can increase the size of price movements and can therefore increase the likelihood of larger losses, wider stops, or more rapid equity changes.

Volatility does not automatically create drawdown, but if position sizing does not adapt to changing volatility, the risk profile of the strategy can change significantly.

21. Drawdown and Position Sizing

Position sizing determines how much each trade contributes to the equity curve.

If the strategy's statistical edge remains unchanged but position size is doubled, the expected gains and losses are scaled up, and drawdowns can become much larger in monetary and percentage terms.

A trader should therefore define not only the maximum acceptable risk per trade but also what level of portfolio drawdown is acceptable.

22. Drawdown Limits

A drawdown limit is a predefined condition under which we reduce risk, pause a strategy, or perform a structured review.

For example, a system might define a review at 5%, a risk reduction at 8%, and a temporary suspension at 12%. These numbers are illustrative, not universal rules.

The important point is that the response is defined before the drawdown occurs, rather than invented emotionally after losses accumulate.

23. Drawdown vs. Strategy Failure

A drawdown does not automatically mean that a strategy is broken.

A strategy can experience a normal statistical losing period while its underlying edge remains intact.

However, a drawdown can also be evidence that something has changed. The task is to distinguish a normal drawdown from a structural deterioration in the strategy.

This requires examining execution quality, market regime, strategy assumptions, slippage, costs, correlation, and the distribution of recent results.

24. When Does a Drawdown Become Suspicious?

There is no universal percentage at which a drawdown automatically becomes abnormal.

It becomes more informative when the observed drawdown exceeds what our historical or tested distribution suggests, when losses cluster unusually, when expected market conditions change, or when execution deviates from the tested rules.

The comparison must therefore be made against the strategy's own validated behavior rather than an arbitrary industry number.

25. Drawdown and Losing Streaks

A losing streak is one possible driver of drawdown, but the two concepts are not identical.

A losing streak counts consecutive losing trades. Drawdown measures the decline of equity from a prior peak.

A few large losses can create a significant drawdown without a very long losing streak. Conversely, many small losses can create a long but shallow drawdown.

26. Drawdown and Psychology

Drawdown changes how trading feels. A trader may become afraid of taking valid setups, increase risk to recover losses, abandon a strategy prematurely, or stop following the original plan.

This creates a dangerous feedback loop: drawdown produces emotional pressure, emotional pressure changes execution, and changed execution can make the drawdown worse.

The professional response is process control rather than emotional improvisation.

27. What Should We Do During a Drawdown?

The first step is to avoid automatically changing everything.

Verify that trades were executed according to the plan.

Check whether market conditions changed.

Review whether position sizes and stops were correct.

Compare recent results with the strategy's historical distribution.

Check whether correlated exposures increased.

Check costs, slippage, and execution quality.

Only after this review should we decide whether risk reduction, a strategy pause, or a structural change is justified.

28. Successful Case Study

A trader operates a strategy with a historically observed maximum drawdown of approximately 12%. The account enters a 6% drawdown after a normal cluster of losses.

The trader reviews the trades and finds that entries, stops, position sizing, and execution all followed the system. The market environment is also consistent with periods in which the strategy historically underperformed.

Instead of doubling risk to recover the account, the trader continues with the predefined risk level and monitors the equity curve.

The drawdown later recovers. The important success was not predicting the recovery. It was avoiding an emotional reaction that could have increased the damage.

29. Failed Case Study

A trader normally risks 1% per trade. After losing 7% from a previous equity peak, the trader becomes determined to recover quickly.

Risk is increased to 3% per trade. Several further losses occur.

The original 7% drawdown becomes substantially deeper, not because the original strategy necessarily failed, but because the trader changed the risk process during stress.

The lesson is that drawdown management must be designed before drawdown occurs.

30. Drawdown and the Professional Trading Process

A professional process treats drawdown as an expected property of probabilistic trading, while also defining boundaries beyond which investigation is required.

We should know the strategy's historical or tested drawdown characteristics, expected losing streaks, recovery behavior, and acceptable risk limits.

We should also know what evidence would justify reducing risk and what evidence would justify concluding that the strategy itself may have changed.

31. Common Mistakes

Treating any drawdown as proof that a strategy no longer works.

Ignoring drawdown until it becomes severe.

Increasing risk to recover losses faster.

Changing several strategy variables at once during a drawdown.

Comparing our drawdown with another trader's without comparing systems and risk levels.

Looking only at maximum drawdown and ignoring duration.

Ignoring correlated positions and portfolio concentration.

Confusing losing streak length with drawdown depth.

Using arbitrary drawdown limits without considering the strategy's own statistics.

32. The Essence of Drawdown

Drawdown is a normal and measurable part of trading performance. The important question is not whether drawdown can be eliminated, but whether it can be kept within a range that our strategy, capital, and decision-making process can survive.

A robust trader therefore thinks in several layers: risk per trade, position sizing, portfolio concentration, correlation, volatility, equity curve, drawdown depth, drawdown duration, and recovery.

The objective is not to avoid every losing period. It is to avoid turning a normal statistical drawdown into an unnecessary capital or process failure.

Practical Exercise

Use a real or hypothetical trade history containing at least 30 trades.

Record the account equity after every trade.

Identify every new equity peak.

Measure each peak-to-trough decline.

Calculate percentage drawdown for each decline.

Identify the maximum drawdown.

Measure the duration of the largest drawdown.

Record the losing streak associated with each major drawdown.

Compare drawdown with Risk per Trade and 1R.

Identify whether correlated positions contributed to any major decline.

Write predefined responses for several drawdown levels, such as review, risk reduction, and strategy pause.

Compare the observed drawdown with the expected behavior of the strategy, if historical or tested data are available.

The goal is not to make the equity curve look perfect. The goal is to understand how the strategy behaves when it is not working in our favor.

Key Terms

Drawdown — The decline in account equity or capital from a previous peak to a subsequent trough before a new equity high is reached.

Maximum Drawdown (MDD) — The largest peak-to-trough decline observed during the period being analyzed.

Equity Peak — The highest account equity reached before a drawdown begins.

Trough — The lowest equity level reached during a particular drawdown.

Recovery — The rise in equity from a drawdown trough back toward and beyond the previous equity peak.

Time Under Water — The period during which account equity remains below its previous equity peak.

Risk per Trade — The predefined amount or percentage of capital we are willing to lose if an individual trade reaches its planned maximum loss.

Position Sizing — The process of determining how large a position we can take for a defined level of risk.

Portfolio Risk — The combined risk created by all open positions rather than by one trade considered in isolation.

Correlation Risk — The risk that several positions are exposed to the same underlying market factor and can therefore lose together.

Volatility — A measure of how much and how quickly an instrument or portfolio tends to move.

R-multiple — A way of expressing a trade result relative to the amount initially risked on that trade.

1R — The original planned risk amount of one trade; a full planned loss is approximately -1R.

Fixed Fractional — A position-sizing approach in which the amount risked is defined as a fixed percentage of current equity.

Volatility-based Sizing — A position-sizing approach that adjusts position size according to the volatility or movement characteristics of the instrument.

Losing Streak — A sequence of consecutive losing trades that can contribute to a drawdown, but is not itself the same measurement as drawdown.

Drawdown; Maximum Drawdown; Equity Peak; Trough; Recovery; Time Under Water; Risk per Trade; Position Sizing; Portfolio Risk; Correlation Risk; Volatility; R-multiple; 1R; Fixed Fractional; Volatility-based Sizing.

Knowledge Check

1. What is drawdown and from what reference point is it measured?

2. What is the difference between an absolute loss and a drawdown?

3. What are equity peak, trough, and recovery?

4. What is maximum drawdown?

5. How do we calculate percentage drawdown?

6. Why does risk per trade influence drawdown?

7. How does fixed fractional sizing affect a losing sequence?

8. Why can the same win rate produce different drawdowns?

9. What is the relationship between expectancy and drawdown?

10. Why does drawdown duration matter in addition to drawdown depth?

11. What does time under water describe?

12. Why does a 20% drawdown require a 25% recovery?

13. How can portfolio concentration increase drawdown?

14. How can correlation make a drawdown develop faster?

15. Why can higher volatility change the drawdown profile?

16. Why is a drawdown not automatically proof that a strategy has failed?

17. What evidence should we review before changing a strategy during a drawdown?

18. Why should drawdown responses be predefined?

19. How can increasing risk to recover losses make drawdown worse?

20. What is the main objective of professional drawdown management?

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