Maximum Drawdown Calculator
The formula
What the maximum drawdown tells you
The deepest fall from a historical peak to the subsequent trough before a new high — the single risk number investors actually feel. Drawdowns are multiplicative pain: recovering a 33% hole costs a 50% gain, which is why risk control dominates return chasing.
Calculation: Max DD = (trough − peak) ÷ peak; recovery gain = DD ÷ (1 − DD). Enter your inputs and every substitution is shown below the result.
Reading the result
Read it together with the recovery time. A −20% drawdown that healed in 6 months (2011) is an entirely different animal from one that lasted four years (2000–2003).
Rules of thumb: −10% correction · −20% bear market · −37% 2008 US equities · −50%+ emerging markets / single stocks
Limitations and best practice
Historical max DD understates what the future can hand you: the worst event in a series is always worse than the worst you have already seen. Size positions against a "worst plus a margin" number.
This calculator gives an estimate based on standard formulas; it is not professional financial, medical, legal or engineering advice. Verify anything you plan to act on with a qualified professional and your own records.
Frequently asked questions
Why is a 50% loss so much worse than two 25% losses?
Is max drawdown the same as volatility?
Source & methodology
Standard measure; see Magdon-Ismail & Atiya (2004) "Maximum drawdown", Risk Magazine.
Maximum Drawdown: the number, the method and the caveats
You are here because you need a specific number, and you want to see how it was produced before you rely on it. Searchers land on a Maximum Drawdown page for three reasons — to plan, to compare options, and to check that somebody else’s arithmetic is honest. This tool serves all three, and everything after the calculator explains the model instead of hiding it.
What makes Maximum Drawdown worth calculating is not precision but position: it tells you which side of a threshold you are on, and by how much. A rough figure that settles the direction beats an elaborate one that never commits.
Most confusion about Maximum Drawdown comes from mixing up the input you control with the input you merely observe. The formula treats them identically, but your decisions should not: one deserves measurement, the other deserves a defensible estimate.
Every figure in the prose is generated by the engine rather than written beside it — the worked example resolves to maximum drawdown = -44.1% on the default inputs, and the sensitivity section ranks the inputs that move the result — Peak value (%) or $ first, at ≈14.1 % of the headline for a ten-percent error either way in that input. Read the sections in order and you will be able to reproduce every figure by hand.
The Maximum Drawdown formula, explained
The engine implements a single stated model: Max DD = (trough − peak) ÷ peak; recovery gain = DD ÷ (1 − DD). There is no hidden coefficient and no login-gated precision — the formula printed is the formula executed, which is also what makes the result citable.
Peak value (%) or $ (example value 170) is a quantity rather than a category — precision here is cheap and worth having. Check the convention first: if the source says “6.5 % per year”, type 6.5 and let the formula do the rest.
Trough value (%) or $ (example value 95) is a numeric input whose unit is fixed by the label; a wrong unit is a wrong answer wearing a plausible disguise. Rates are the most mis-transcribed input on any page like this; copy it from the document rather than retyping from memory.
The default Maximum Drawdown calculation, written out in full
Rather than describe the calculation, here it is end to end — every substitution in order, starting from the inputs above. Starting figures: Peak value (%) or $, Trough value (%) or $. The endpoint of that chain is -44.1% of maximum drawdown, sitting in the “You need 78.9% to get back to even” band.
- Drawdown = (95 − 170) ÷ 170 = -44.1%
- Recovery gain = 0.4412 ÷ (1 − 0.4412) = 78.9%
Loss during the decline — -44.1%. Read next to the headline, this is the figure that shows the shape of the trade-off.
Gain needed to recover — 78.9%. This is the number experienced users quote when the headline alone would mislead.
Recovery multiple — 1.789 ×. If your inputs change, this is usually the first companion figure to move.
If the fall were half as deep — -0.2%. If your inputs change, this is usually the first companion figure to move.
Overwrite any input above and every line of this example updates with it — the substitution is live, not a screenshot of somebody else’s numbers.
The Maximum Drawdown corridor: your result across a realistic band
Single-point answers invite false confidence, so the same engine was run across a band around the input that matters most here. Each row is a full recalculation of Maximum Drawdown, not an interpolation.
| Peak value (%) or $ setting | Maximum drawdown |
|---|---|
| 80 % of the example value | -30.1% |
| 90 % of the example value | -37.9% |
| example inputs | -44.1% |
| 110 % of the example value | -49.2% |
| 120 % of the example value | -53.4% |
The corridor runs from -53.4% to -30.1% across that band — which is the range worth planning inside rather than the single -44.1% point estimate. Reproduce it in the form above by editing Peak value (%) or $ alone; the substitution steps will follow your figures exactly.
Where Maximum Drawdown is fragile — and where it is not
This list was computed for this specific engine just now: each numeric input was nudged ±10 % while every other field held its example value, and the maximum drawdown was recalculated from scratch. For Maximum Drawdown the ranking is measured rather than guessed, and it belongs to these defaults: shift the starting point and the order can shift with it.
- Peak value (%) or $ +10 % → Maximum Drawdown = -49.2% · −10 % → -37.9% (the maximum drawdown shifts ≈14.1 %)
- Nudge Trough value (%) or $ by ±10 % and Maximum Drawdown lands between -49.7% and -38.5% (sensitivity ≈12.7 %)
Peak value (%) or $ is the dominant lever here: ten percent either way moves the result by about 14.1 %, from -49.2% to -37.9%. Measure that input from a document rather than from memory, and treat Trough value (%) or $ as the second priority (≈12.7 % per ten percent). The rest of the inputs earn only a rounding-error of attention, and that asymmetry is the practical payoff of measuring rather than asserting.
What a Maximum Drawdown of -44.1% means in practice
Nobody acts on a bare figure — they act on a figure with a comparison attached. The default case lands in the “You need 78.9% to get back to even” band, and bands are deliberately wide because real situations overlap. The sensitivity list shows how far a modest input error moves you along that ladder: for Peak value (%) or $, ±10 % covers -49.2% to -37.9%. The practical reading rules: ask what would have to change to move you one band. If the answer is “a small, plausible input difference”, the band itself is not the finding — the uncertainty is.
Placing this figure in context: calculators of this kind differ less in arithmetic than in what they choose to ignore. This one keeps Peak value (%) or $ explicit so that the omissions are visible rather than hidden in a preset.
The errors that quietly break a Maximum Drawdown figure
Historical max DD understates what the future can hand you: the worst event in a series is always worse than the worst you have already seen. Size positions against a "worst plus a margin" number. This calculator gives an estimate based on standard formulas; it is not professional financial, medical, legal or engineering advice. Verify anything you plan to act on with a qualified professional and your own records.
Feeding best-case scenarios and calling them plans. Run the number at least at expected and at pessimistic inputs; the gap between them is the actual risk you are accepting.
Attention is also misallocated between fields. Having measured this engine, we can say where it belongs: Peak value (%) or $ first, everything else second.
The subtlest error is answering the wrong question precisely. Confirm that maximum drawdown is actually the quantity your decision needs — the arithmetic is flawless either way, which is what makes the mistake invisible.
Before you trust your Maximum Drawdown: a short checklist
- Record the date and the inputs alongside the number so future-you knows what was assumed.
- Confirm the example values are plausible for your own situation before replacing them.
- Check Peak value (%) or $ before anything else: it is the measured dominant input, ≈14.1 % of Maximum Drawdown per ten percent.
- Note the date and the inputs beside the number so the figure can be audited later.
- State, in one sentence, which convention each rate, unit or period in the form is using.
- Run the ±10 % stress on the top two levers and check that your conclusion survives both.
A routine for decision-grade Maximum Drawdown
The tool does the arithmetic; the routine below is what makes the arithmetic trustworthy. Five steps, a minute total — and afterwards you will know not just what the number is, but which assumption produced it.
Step 1 — gather before you type. Maximum Drawdown depends on peak value (%) or $, trough value (%) or $. Collect them from a source document — a statement, a report, an invoice, a log — rather than from memory, because recalled inputs are the single largest cause of wrong results. If the verdict changes with a ten-percent nudge, report the nudge alongside the number.
Step 2 — start from the case you can defend. Enter pessimistic-but-honest figures first; the optimistic run is a ceiling, not a plan. A conclusion that holds on conservative inputs holds everywhere. If a result feels obviously right, that is the moment to check the inputs hardest.
Step 3 — isolate your variables. Change one field, observe, revert. The live sensitivity list does the ranking for the default inputs; verify it against your own, because dominance shifts when the starting point shifts. If the verdict changes with a ten-percent nudge, report the nudge alongside the number.
Step 4 — stress before you commit. A decision that survives a ten-percent squeeze on its two biggest inputs needs no luck to be sound. One that does not survive is a decision about hope, not about arithmetic. The inputs are the part of the work that nobody else can do for you.
Step 5 — record the context, not just the number. Note today’s date and the inputs alongside the -44.1% output. Six months from now the context is what turns this figure into a trend. Precision is a promise you make about your data; make sure your inputs can keep it.
The real-world conversations Maximum Drawdown settles
Investing & Markets arguments end at arithmetic or they do not end. Maximum Drawdown is the arithmetic: -44.1% on the example inputs, reproducible by anyone who types the same numbers. If the answer changes your behaviour, it deserves a second run with different assumptions.
The audience for this page is people who need one trustworthy number before their next decision. In professional Portfolio Management practice the pattern is always the same — screen with Maximum Drawdown, then invest slow analysis only in whatever survives the screen. The inputs are the part of the work that nobody else can do for you.
Nothing here is stored or transmitted, so the habit of checking is free: open the page, re-enter current figures, compare with the number you saved last time. The test of a good estimate is not that it feels right but that it changes what you do.
Quick answers: what searchers ask about Maximum Drawdown
What affects Maximum Drawdown the most?
The short answer: Peak value (%) or $. The longer answer is the sensitivity table on this page, where every numeric input was probed by ten percent and the maximum drawdown recalculated — Peak value (%) or $ moved it furthest, by roughly 14.1 % (-49.2% to -37.9%).
Which matters more: trough value (%) or $ or peak value (%) or $?
For Maximum Drawdown, Peak value (%) or $ wins the head-to-head (≈14.1 % against ≈12.7 % per ten-percent change). Knowing which input dominates is the difference between careful work and merely slow work.
What is a typical Maximum Drawdown?
With the example inputs on this page the result is -44.1%, labelled “You need 78.9% to get back to even”. “Typical” varies with situation, which is why every result here ships with its verdict band and its sensitivity list: they turn one figure into a range you can locate yourself inside.
How do I calculate Maximum Drawdown by hand?
Use the stated model — Max DD = (trough − peak) ÷ peak; recovery gain = DD ÷ (1 − DD) — and substitute in the order the tool prints (it starts from Drawdown = (95 − 170) ÷ 170 = -44.1%). On the example inputs the hand route lands on -44.1%, exactly what the calculator shows. A spreadsheet reproduces it in two or three cells; doing it once by hand is what makes the automated answer trustworthy.
What happens to Maximum Drawdown if peak value (%) or $ changes by 10 %?
On these inputs a ±10 % change in peak value (%) or $ takes Maximum Drawdown to -49.2% against the -44.1% example — around 14.1 % of the headline. The same test on every other field is in the sensitivity section.
Is the Maximum Drawdown result of -44.1% good or bad?
The tool answers “what”, not “whether”: -44.1% carries the verdict “You need 78.9% to get back to even” for the default case, which is a starting interpretation rather than a verdict on your situation. Re-run with your own figures and compare the bands.
Does Maximum Drawdown account for fees and taxes?
Only what you put in. Fees belong inside Peak value (%) or $ where they shrink returns before compounding touches them; taxes are outside the scope of a pre-tax Maximum Drawdown and should be layered on top before decisions.
What is a good Maximum Drawdown?
Markets give away free benchmarks: anything that beats the relevant index after costs earns the label "good", and this tool’s verdict band translates Maximum Drawdown against experience ranges. Before that, check that the inputs are realistic — a great Maximum Drawdown built on optimistic inputs is just a nicer-looking error.
Why is a 50% loss so much worse than two 25% losses?
Because percentages compound asymmetrically: −25% then −25% leaves 56.25% of capital — already worse than −50%, and needs +78% to recover.
Is max drawdown the same as volatility?
No. Volatility counts every wiggle both ways; drawdown only cares about the worst one-way trip — usually the number retirees should ask about.
Is my data private on this page?
Yes — computation happens locally in your browser, with no account, no tracking of your inputs and nothing sent to a server. The printed formula is the whole story of what happens to your figures.
What the labels on this page mean
- Loss during the decline
- -44.1% in the default Maximum Drawdown calculation — one of the secondary figures an experienced reader checks before trusting the primary number.
- Gain needed to recover
- 78.9% for the Maximum Drawdown worked case; it sits next to the main result because it carries context the headline leaves out.
- Recovery multiple
- 1.789 × for the Maximum Drawdown worked case; it sits next to the main result because it carries context the headline leaves out.
- Maximum drawdown
- The primary output of this tool: -44.1% for the default inputs, computed exactly from Max DD = (trough − peak) ÷ peak; recovery gain = DD ÷ (1 − DD).
- Worked example
- Every substitution in order, from the example inputs to -44.1% — the audit trail for the headline figure.
- Verdict band
- The interpretation attached to a result (“You need 78.9% to get back to even” on these inputs), which turns a bare number into a position on a scale.
- Sensitivity (±10 %)
- How far the Maximum Drawdown moves when a single input is nudged ten percent either way; the ranked list on this page is computed live from this engine.
Where the Maximum Drawdown model comes from
Everything above runs on one stated formula, applied without hidden coefficients: Max DD = (trough − peak) ÷ peak; recovery gain = DD ÷ (1 − DD). Source of record: Standard measure; see Magdon-Ismail & Atiya (2004) "Maximum drawdown", Risk Magazine. Specialist software layers extra coefficients on top of the same algebra; none are hidden here, and that transparency is what makes a disagreement traceable to a specific input instead of a black box.
Nothing here replaces a qualified professional, and nothing here is approximate either — the arithmetic is exact, and the honesty is in the inputs you supply. Nothing is smoothed, weighted or adjusted behind the scenes; where judgement enters, this page says so and names the input responsible.
Next steps after the calculation
Save the number together with its inputs and today’s date; a Maximum Drawdown figure without context is unusable the moment an input changes.
Whoever you are (people who need one trustworthy number before their next decision), the next step is the same: replace the example inputs with your own, note the date, and re-run whenever a figure moves. In Investing & Markets, a dated figure is a trend, and an undated one is a rumour.