How long do trading drawdowns last?

Across 230 drawdowns in our live NQ book over 15 years, the median one recovered in 7 days. 54% cleared inside a week, 86% inside a month. So the usual answer to "how long will I be underwater" is: not long.

But the average is not the risk. The single worst stretch held the book underwater for 979 straight days, about two years and eight months, from July 2011 to March 2014. That long grind is the part that ends accounts, and it was not our deepest dip. It was a shallow one that just would not clear.

That is the whole finding. Depth gets the attention; duration does the damage. We timed all 230 drawdowns in the book to show you both. Here is the data.

Whose drawdowns are these (read this first)

These numbers are from our own book. Five systematic NQ strategies run as one portfolio that holds a single position at a time. TradingView backtests, June 2011 to June 2026, one to three contracts scaled by volatility, commissions and slippage included, $1,120,402 net over 3,505 trades. The style is momentum and trend continuation, intraday plus one overnight model. Not mean reversion, not scalping.

That matters for what follows. Our exact recovery times are ours. A momentum book claws back in a few big trending moves, not a steady drip. What transfers is the lesson: any track record has a recovery-time distribution with a short middle and a long tail, and the tail is the number that matters. A discretionary trader can run this same walk on their own closed trades.

One definition before the tables. A drawdown here is any dip from a prior equity peak until the book prints a new high. We measure its length in calendar days from peak to new high. We call that being "underwater."

Most drawdowns recover in days, not months

Here is the full recovery-time distribution across the 229 drawdowns that recovered inside our window.

Read it left to right. The two green bars are the comfortable cases, 196 of the 229 episodes, or 86%, that cleared inside a month. The red bars on the right are the tail. Four episodes took more than half a year, and exactly one ran past a full year.

The numbers behind the chart:

The median is 7 days. The mean is 23 days. When the average sits three times above the median, that is the tail talking. A handful of long grinds drag the average up while most episodes finish fast.

That 7-day median is not a lucky ordering. We block-resampled these trades 2,000 times, keeping runs of 20 consecutive trades intact so a full losing streak survives each shuffle. Across every resampled 15-year history the median recovery held inside 6 to 9 days. So the comfortable case is stable. It is the tail, not the middle, that moves. If you plan around the median, the tail will surprise you. That is the mistake this article is trying to stop.

The deepest drawdown and the longest are different events

This is the core of it. The dip that costs the most dollars and the dip that keeps you underwater the longest are almost never the same episode.

Our deepest drawdown was $28,994, the max drawdown on our tear sheet, which the tear sheet reports as 17.5% of peak equity. It happened recently, peaking June 3 2025 and clearing to a new high by August 4 2025. That is 61 days underwater. Our worst dip in dollars, and yet it recovered in nine weeks. Deep, but quick, and easy enough to hold.

Now the other one. Our longest underwater stretch ran 979 days, from a peak on July 21 2011 to a new high on March 26 2014. The dip itself was only $18,631, a good deal shallower than the $28,994 max. Its worst point came 788 days after the peak, and then it took another 191 days just to climb back. A shallower hole in dollars, underwater about sixteen times longer, and far harder to sit through.

That grind had one main author. We tag every trade by which of our five subs fired it, so we can see who bled during the 788-day slide to the bottom. One sub owned most of it: our long-breakout model lost $10,926, about 59% of the whole hole, on a 38% win rate over 192 trades. No single blow-up. A slow, one-sub leak, while the trend models slowly clawed the book back to a new high.

And it was not a crash. When we join those trades to the market regime they traded in, the biggest dollar loss came in ordinary trending months, $12,341 across the slide, more than crash and high-volatility months combined. The book bled out through calm, choppy, nominally up markets, the exact place a breakout book gets whipsawed. That is why the hole stayed shallow but took almost three years to fill. A crash gives you a deep, fast dip. A long chop gives you a shallow, endless one.

That is the trap in reading a tear sheet. The headline max drawdown is a depth number. It tells you nothing about how long you would have waited to get it back. We wrote a whole companion piece on the depth side of this question, why your live drawdown will probably be deeper than your backtest, where a Monte-Carlo test puts a normal forward low near $42,000. This article is the other half: not how deep, but how long.

About 85% of the time, the book sat below a prior peak

Here is a number that sounds alarming until you understand it. The book was underwater, meaning below some earlier peak, on about 85% of all calendar days in the window.

That is normal, not a flaw. Any rising equity curve spends most of its life a little below its own high, because a new high is a single instant and the climb to the next one takes time. The honest read is not "the book is usually losing." It is "the book is usually a small fraction below its best mark, on the way to the next one."

So the 85% is not the number to fear. How far below the peak is. Most of those days are fractions of a percent down. The days that test you are the rare ones where you are well underwater and it has already been a year. That is the tail from the distribution above, and it is where the risk lives.

Buy-and-hold QQQ sat underwater 85% of days too

To put the shape in context, we ran the same measurement on buy-and-hold QQQ, the Nasdaq-100 ETF, over the identical 2011 to 2026 window on dividend-adjusted closes.

Read this as shape, not dollars. The two are different units. Our figure is book equity per one NQ mini on a $100k stake; QQQ's is a percent move on a total-return index. You cannot line up $28,994 against -35.1% as the same thing, and we are not.

What does line up is the pattern. Both spent about 85% of days below a prior peak, so "usually underwater by a little" is just what a long-running equity curve looks like. The difference is the worst case. QQQ's worst was a 35.1% hole that took 716 days to clear, from its December 2021 peak to a new high in December 2023. A buy-and-hold Nasdaq investor sat through that. Long underwater stretches are not unique to active trading. They are the cost of being in the market at all.

These day counts are a floor, not a ceiling

Here is the honest limit. We measure recovery on close-of-trade book equity, sampled at trade exits, not on the intraday value of a live account ticking second by second. A real account marks to market on every price move. So a trader watching a live screen will feel underwater on more days, and dip lower inside a day, than this exit-sampled count shows. The direction of the error is known: our day counts are the floor, not the ceiling.

A grind this long is not a fluke of one history either. In the same 2,000 resamples, a stretch of six months or more underwater showed up in 99% of them, and even the mildest 2.5% of resampled histories still had a worst stretch of about 194 days. The realized 979 days is the severe draw we actually lived through. The point stands under every reshuffle: a long tail is baked into this book, not an accident of one ordering.

One episode was still open on the export date. On June 15 2026 the book set a peak, and by the June 17 export it sat about 0.3% below it, roughly $3,748. That is not a large open drawdown. It is the book fractionally off its high on the day we cut the data, which is exactly what you would expect 85% of the time. We count it as open and honest rather than pretend the record ends on a perfect new high.

Budget for ten weeks underwater, not one

Budget for a drawdown that lasts about a quarter, not a week.

The median 7-day recovery is the comfortable case, and it is the wrong number to plan around. In our book, 90% of episodes cleared within 46 days and 95% within 72 days. So plan your capital and, just as important, your patience for the p95: roughly ten weeks underwater, not the 7-day median. The median is the case that feels fine. The p95 is the case that makes people quit a working system one month before it recovers.

One honest caveat on that p95. Unlike the rock-stable 7-day median, the p95 is a tail number resting on a handful of long episodes from one 15-year path. Across the same 2,000 block-resampled histories its 95% band ran from about 10 to 20 weeks (67 to 141 days). So treat ten weeks as a planning floor, not a ceiling: a working system can stay underwater half again as long as the p95 and still be behaving normally.

This is why duration matters most for a funded account. A prop firm's trailing drawdown limit follows your equity by the path, not just the low, so a long shallow grind can breach it even when the dollar dip is small. We work that exact math in how a prop-firm trailing drawdown actually tests you. And if your first question is whether the edge that recovers these drawdowns is even real rather than curve-fit, that is how to tell if a backtest is overfit.

We publish the ugly stretches the same way we publish the profit. The full 15-year record, drawdowns and all, is on our strategies page and the tear sheet. Our subscribers trade the signals from the same five systems measured here; plans and the free 7-day trial are on the pricing page.

How we measured this

Instrument: CME Nasdaq-100 E-mini (NQ), $100,000 starting capital, no compounding, one to three contracts scaled by volatility, the same sizing the live signals deliver. Data: the TradingView list-of-trades export from our live five-strategy book, covering 2011-06-26 through 2026-06-17, 3,505 trades, commissions and slippage already inside the net P&L. The book totals reconcile to our published canonical stats.

Method: we rebuilt close-of-trade equity from the export, then walked it peak to peak. Each time equity fell below a prior high and later printed a new high, we logged one drawdown episode with its depth in dollars, its depth as a percent of the peak it fell from, and its length in calendar days from peak to new high. We ran that walk two independent ways: one script re-summing equity from the per-trade P&L column, a second reading the export's own cumulative-P&L column with a different parser and day loop. Both returned the same 230 episodes, the same 7-day median, and the same 979-day and 61-day anchor episodes. The QQQ contrast is a separate recompute on Yahoo Finance dividend-adjusted daily closes over the same window, run by both scripts.

Three further checks back the tail claims. The 6-to-9-day median band and the "long tail in 99% of histories" come from a moving-block bootstrap, 2,000 resamples of 20-trade blocks, re-run under a second random seed with the same result. The per-sub split of the 979-day slide tags each trade by the sub that entered it. The regime split joins each trade to its month's volatility label. Each was recomputed a second independent way and matched to the cent.

The limits, plainly. Recovery days are exit-sampled, not intraday, so they understate how underwater a live account feels day to day, as noted above. The two day-loops bracket the time-underwater figure between 85.4% and 85.8%, so we report it only as "about 85%" and not a sharper number. These are hypothetical backtest results, not live fills. What would falsify the "short median, long tail" claim: a live record whose recovery times clustered tight with no long grinds. Fifteen years of our data show the opposite.

Disclosure. We trade this book live and sell access to the signals, so judge the data accordingly. This article is educational and is not investment advice, a recommendation, or an offer to buy or sell any security or futures contract.

Hypothetical performance disclaimer (CFTC Rule 4.41). The results described here are based on backtested and hypothetical performance. Hypothetical performance results have many inherent limitations, some of which are described below. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown. In fact, there are frequently sharp differences between hypothetical performance results and the actual results subsequently achieved by any particular trading program. One of the limitations of hypothetical performance results is that they are generally prepared with the benefit of hindsight. In addition, hypothetical trading does not involve financial risk, and no hypothetical trading record can completely account for the impact of financial risk in actual trading. For example, the ability to withstand losses or to adhere to a particular trading program in spite of trading losses are material points which can also adversely affect actual trading results. There are numerous other factors related to the markets in general or to the implementation of any specific trading program which cannot be fully accounted for in the preparation of hypothetical performance results and all of which can adversely affect actual trading results.

Past performance does not indicate future results.