At a 60% win rate, the chance that a given run of five trades all lose is 0.4 to the fifth power, or 1.02%. Over 1,000 trades there are 996 overlapping five-trade windows, so the expected count of all-losing five-trade windows is about ten. A run of five losses is what a 60% win rate produces. The question a streak raises is not whether the arithmetic broke, but whether you did.
Why a losing streak happens
The arithmetic of consecutive losses
Treat each trade as independent of the one before it and give every trade the same 40% chance of losing. The chance that a specific run of trades all lose is then 0.4 raised to the length of the run.
| Consecutive losses | Probability of that run | About |
|---|---|---|
| 3 | 0.4³ = 6.4% | 1 in 16 |
| 5 | 0.4⁵ = 1.02% | 1 in 98 |
| 7 | 0.4⁷ = 0.16% | 1 in 610 |
Those figures describe one run. A long record contains many runs, which is why the streak arrives anyway. In 1,000 trades there are 996 five-trade windows, and 996 times 1.02% is 10.2. Ten all-losing five-trade windows is the expectation at a 60% win rate.
Two caveats on the arithmetic. Independence is an assumption, and your own record may break it: if you size up after a loss, or trade the same sector in every position, the trades move together. And a 60% win rate is the figure this article uses, not a figure you can assume about your own trading until enough trades have closed to measure it.
What a streak does not tell you
A run of losses on its own does not separate a method that has stopped working from a method behaving exactly as its win rate predicts. Both produce the same five red rows.
What separates them is the record either side of the run. Look at the win rate before it and the number of trades behind that win rate. Then check whether the entries during the run matched the rules you wrote down.
What the streak does to the next decision
The account is smaller, so the same percentage risk is now a smaller dollar figure, and the loss is more recent than any win. Shefrin and Statman (1985) place aversion to loss realization at the centre of what they call a general disposition to sell winners too early and hold losers too long. Odean (1998) tested that disposition on trading records for 10,000 accounts at a large discount brokerage house and found investors showed a strong preference for realizing winners rather than losers. Neither paper studies swing traders mid-streak, so treat both as evidence that the pull exists, not as a measurement of you.
The first decision after a losing streak
Set the pause before the run, not during it
This article uses three consecutive losses as the trigger to stop for the day. Five is its trigger to stop for the week. Both numbers are examples. Choose your own, and write them down while nothing is going wrong, because a threshold chosen halfway through a drawdown gets chosen by the drawdown.
A pause changes one thing: it puts time between the loss and the next order. It does not repair the method, and it does not make the next trade more likely to win.
Review the trades in the run
Five questions, answered from the record rather than from memory:
- Did each entry match a rule you wrote before the trade?
- Was the stop placed where the plan said, and left there?
- Was the position size the one your risk figure produces?
- Were these the setups your strategy names, or the ones that were available?
- Did anything about the market change between the trades?
If every answer holds, nothing in the review distinguishes the run from the arithmetic above. If the answers do not hold, the run is not variance, and the fix is the rule you skipped rather than the strategy you used.
Check what changed in the market
Volatility, trend structure and news flow all move, and a method built for one of them behaves differently in another. Record what the conditions were at each entry so the answer comes from the record next time instead of from recall.
The arithmetic of recovery
What a drawdown costs to undo
The gain needed to return to the previous balance is larger than the fall, because the gain is calculated on what is left. For a loss of L, the gain needed is L divided by 1 minus L.
| Account loss | Gain needed to recover |
|---|---|
| 5% | 5.3% |
| 10% | 11.1% |
| 20% | 25.0% |
| 25% | 33.3% |
| 30% | 42.9% |
| 50% | 100.0% |
At 5% the gap is a third of a percentage point. At 50% you have to double what remains.
What risk per trade does to a five-loss run
Each row below is five consecutive losses with the risk recalculated on the balance at the time.
| Risk per trade | Account remaining | Fall | Gain needed to recover |
|---|---|---|---|
| 0.5% | 97.5% | 2.5% | 2.5% |
| 1% | 95.1% | 4.9% | 5.2% |
| 2% | 90.4% | 9.6% | 10.6% |
| 5% | 77.4% | 22.6% | 29.2% |
The 5% row is the argument against sizing up to make the money back faster. Five losses at 5% costs 22.6% and needs 29.2% to undo. The same five losses at 1% costs 4.9% and needs 5.2%.
Trading through the recovery
Reducing size
Halving the risk per trade halves the loss on every trade that follows and halves the gain. Moving from 1% to 0.5% turns a five-loss run from a 4.9% fall into a 2.5% one, and turns a five-win run at 2R from about 10% into about 5%. That is the whole trade-off: a smaller number in both directions while you find out which side the record is on.
Measuring execution instead of the balance
During a run, the balance is the noisiest number you have and the one you can least influence. Rule adherence is the quiet one: whether each trade matched a rule, and whether the stop stayed put. Grade that for a set number of trades, then look at the balance again once the sample is large enough to say something.
Paper trading
Swingfolio lets you paper trade without linking a brokerage, which removes the money from the decision while leaving the process intact. Two weeks is this article's example, not a prescription. The measure that ends it is the same one above: entries that match rules, stops that stay put.
Stepping size back up
One example ramp: half your normal risk for the first block of trades, three-quarters for the next, full size after that. Tie each step to rule adherence over a stated number of trades rather than to a calendar week, because a week with two trades in it proves less than a week with ten.
Being selective
Narrowing to the setups your record supports means fewer trades. Whether it also means a higher win rate is a question your own closed trades answer, not one this article can. What it does change with certainty is the sample size: fewer trades take longer to tell you anything.
Shortening the hold
Closing sooner reduces the number of nights a position is exposed to an overnight gap, which is true by construction. It also cuts the top off the winners, since a swing trade that runs for a week cannot run for a week if you close it on day two. Both effects are real and they point in opposite directions.
Reframing the run
The sentences below change what the streak is evidence of, not what happened.
| Instead of | Read the run as |
|---|---|
| I am a losing trader | Five results out of a sample that is still small |
| I need to make this money back | I need the next entry to match a rule |
| My strategy stopped working | Losing runs occur in every strategy with a win rate below 100% |
Ten losses in a record of 1,000 trades is 1% of the sample. Ten losses in a record of 30 is a third of it. The same run means different things at different sample sizes, and the sample size is the part you can check.
What to avoid during a losing streak
Sizing up. Doubling risk from 1% to 2% doubles the loss on every trade in the run. A five-loss run moves from 4.9% to 9.6%, and the gain needed to undo it from 5.2% to 10.6%.
Switching strategy mid-run. Every strategy with a win rate below 100% has losing runs in it, so a run is not evidence that this one is worse than the next one. Changing methods also resets the trade count that any judgement about either method depends on.
Trading a feeling. A setup that matches no written rule has no record behind it, so nothing about it can be measured afterwards. That is the cost, separate from whether the trade wins.
Hiding the run. A drawdown reviewed with somebody who trades is a drawdown described out loud, which is a different act from replaying it.
Building a drawdown protocol before the next streak
Write three lines while nothing is going wrong:
- After a stated number of consecutive losses, I stop for a stated period.
- After a stated account drawdown, I reduce risk per trade to a stated figure.
- I return to full size after a stated number of trades that matched the rules.
Fill in your own numbers. The point of writing them early is that the person filling them in later is the one in the drawdown.
Keep the record that puts a run in proportion
A protocol tells you what to do during a run. A long-term log tells you how large the run is. Keep three things in it: monthly returns over as long a period as you have, the win rate and trade count behind them, and the date and depth of each previous drawdown. Record how long each of those took to come back.
That last column is the one worth having before you need it. A run of five losses read against a record with three prior recoveries in it is a different object from the same run read against nothing.
Tracking a losing streak in Swingfolio
The Risk and Exit Analysis section of the analytics page holds two cards for this. Win/Loss Streaks plots each consecutive run as a bar, wins above the zero line and losses below, in closed-trade order; hovering a bar reads "Loss streak: 4". Drawdown charts the fall from each equity peak and carries a badge reading "Max" and "Current" as percentages, with "Current: At Peak" when the account is at a new high. Neither card sends an alert or applies a protocol. They show the run; the threshold stays in your written plan.
For the review question, the Behavioral tab has a Profit Factor by Compliance chart. It splits closed trades into "Compliant" and "Non-Compliant" and draws the profit factor of each as a bar, against a break-even reference line. That is the chart that answers whether the run came from the rules or from leaving them.
Outside the app, the drawdown recovery calculator takes a loss percentage, an account size and an expected monthly return you supply. It returns the gain needed, the account after the loss, the amount lost and a time to recovery. The time figure is only as good as the monthly return you typed, so treat it as your own assumption made visible rather than a forecast.
Write your drawdown protocol now, while the numbers in it are still hypothetical. Start the 30-day trial and put the last ten trades where you can see the run.