Almost everyone asking how to stop overtrading and revenge trading treats them as one problem with one cure, usually some version of “have more discipline.” I want to argue that they are two different problems, that only one of them is genuinely dangerous, and that the dangerous one is not the one most people worry about.
The habit of taking too many trades is a leak. The habit of increasing your size after a loss is a hole in the hull. They feel similar from the inside, because both of them happen on the same bad afternoon, and both of them come from the same feeling. Their arithmetic is nothing alike.
To be clear from the start: no entry, stop or target discussed should be treated as a signal.
The two habits, described honestly
Overtrading is trading more often than your own process calls for. You planned three setups a day and took nine. Most of the extra six were not bad ideas exactly, they were thin ones, taken because you were watching the screen and the screen was moving.
Revenge trading is the sizing habit. You lose, and the next position is bigger, because a bigger winner would put the morning back where it was. Nobody plans this. It arrives as a very reasonable sounding thought: this next one is a better setup than the last one, so it deserves more.
I have done both. What I could not tell you for years was which one was actually taking my account apart, because when you do both at once you cannot separate the causes. So I separated them in a simulation instead, where you can hold everything else still.
How to stop overtrading and revenge trading depends on which one is expensive
Here is the experiment. I gave a simulated trader a real edge, and then changed only their behaviour.
The assumptions, stated so you can disagree with them:
- Every trade is independent. It wins with probability 0.40, and a winner returns twice what a loser costs.
- That gives an expected value of positive 0.20R per trade, where R is the risk on one trade. This trader is not a losing trader. They have a genuine, modest edge.
- One R is one percent of the starting balance.
- One month is twenty trading days.
- The disciplined version takes three trades a day and risks the same amount every time.
- The overtrading version takes nine trades a day, still at the same size every time.
- The revenge version doubles the risk on the next trade after each loss, resetting to one R after any win, with a ceiling of eight R so the account cannot be wiped in a single click.
- Two hundred thousand simulated months per case. I measured only one thing: the deepest peak to trough fall in the account during the month.
I deliberately did not measure profit. Profit is not the point of this article, this is not a projection of what anyone will earn, and any number I put in that column would be read as a promise. Drawdown is the number that decides whether you are still trading in a year.

The results were not close.
Trading three times a day at a constant size produced a drawdown of twenty percent or worse in 1.0 percent of months. Tripling the trade count to nine a day, changing nothing else, took that to 4.6 percent. Worse, clearly, but survivable, and no case in either group reached a fifty percent drawdown at all.
Now hold the trade count at three a day and add only the doubling habit. The chance of a twenty percent drawdown goes from 1.0 percent to 72.0 percent. Roughly one month in six, 16.6 percent, contains a fall of half the account.
Do both, nine trades a day with doubling, and it is 88.6 percent and 27.6 percent.
Read those two comparisons against each other. Trading three times as often multiplied the risk of a serious drawdown by about four and a half. Doubling after a loss multiplied it by about seventy two. Same edge, same market, same number of trades in the third case as the first. Only the sizing rule changed.
Why the sizing habit is so much worse
The reason is that overtrading adds risk, while revenge trading multiplies it, and it does the multiplying at precisely the wrong moment.
When you take more trades at a constant size, your outcomes are a longer sum of the same small numbers. The typical result drifts, the extremes get slightly wider, and nothing structural changes. When you double after a loss, you are correlating your position size with the thing you cannot control. A run of five losses at a fixed size costs five R. The same run under doubling costs one, then two, then four, then eight, then eight again, which is twenty three R, or twenty three percent of where you started, from a sequence of trades that is completely ordinary.
And that is the second half of the trap, because those sequences are ordinary. With a win probability of 0.40, over the sixty trades of a disciplined month, the chance of hitting at least one run of five consecutive losses is 88.8 percent. At least one run of six is 70.0 percent. Stretch to a hundred and eighty trades and a run of five becomes 99.9 percent and a run of six 97.7 percent.
Losing streaks are not a sign that something has gone wrong. They are the arithmetic working normally. Which means a habit that punishes you severely for a streak is a habit that will be triggered, reliably, roughly every month. You are not gambling on whether the trigger arrives. You are gambling on your own composure when it does, and that is a bet with a known result.
What the evidence outside my spreadsheet says
A simulation only proves that a model behaves the way its assumptions say it will. So it is worth knowing that the effect shows up in real accounts too.
Brad Barber and Terrance Odean studied 66,465 households at a large discount broker between 1991 and 1996. The households that traded most earned an annual return of 11.4 percent, while the market over the same period returned 17.9 percent. The average household earned 16.4 percent and turned over 75 percent of its portfolio a year. The paper is titled “Trading Is Hazardous to Your Wealth,” which tells you where they landed.
That is a gap of six and a half percentage points a year between the busiest traders and simply owning the market, and it comes from a different asset class, a different decade and a different sort of account from ours. What survives the translation is the direction. The most active traders did worst, and the authors’ explanation was overconfidence rather than bad luck.
It is also why regulators pay attention to this. The European securities regulator’s decision to prohibit binary options and restrict CFDs for retail investors was built on evidence about how retail accounts actually behave under leverage, not on a theory about it.
The rules that actually work, and why
Everything below shares one property. None of it requires you to be calm at the moment it matters. Rules that need composure fail exactly when composure is gone, which is the only time you needed them.
Fix your risk before the week starts, not before the trade. One number, written down, applied to every trade regardless of how good this one looks. The moment position size becomes a per trade judgement, it becomes a mood. If you have not settled on a number, how much to risk per trade works through how to choose one.
Cap the day, by count and by loss. Two losses and you are done, or three trades and you are done, whichever comes first. The value of a countable rule is that you cannot argue with a count. “Am I trading emotionally right now” is a question you will always answer no. “Have I taken three trades” is not a question you can lie about.
Make the size mechanical. Size should be an output of your stop distance and your fixed risk, not an input. When it is calculated rather than chosen, doubling after a loss stops being a temptation you resist and starts being an arithmetic error you would have to commit on purpose.
Put a gap between the loss and the next click. The doubling impulse has a short half life. Ten minutes away from the screen, or a rule that the next trade cannot be placed in the same fifteen minute window as the last stop out, removes most of it without requiring any willpower at all.
Log the size, not just the outcome. Most journals record what happened. Record what you risked and what the previous trade did. Two weeks of that data will tell you whether you have a revenge sizing habit more honestly than any amount of reflection will.
If the emotional side of this is the part you recognise most, how to stop revenge trading goes at it from the psychology rather than the arithmetic, and trading after a losing streak deals with the days these runs actually arrive on. The wider framework everything here sits inside is risk management in gold trading.
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Frequently asked questions
Is overtrading always bad?
No, and that is the honest answer the simulation gives. Tripling the trade count while holding size constant took the chance of a twenty percent drawdown from 1.0 percent to 4.6 percent, which is a real cost but not a catastrophic one. The problem is that in practice the extra trades are usually thinner ideas, and a diluted edge is not the same as the edge I assumed. Treat trade count as a quality question rather than a survival question.
How do I tell revenge trading from a legitimately better setup?
By the timing rather than the reasoning, because the reasoning always sounds good. If your size went up within an hour of a loss, assume it was the loss. Written size rules make this test unnecessary, which is the point of having them.
Does a bigger account make this safer?
No. Every number in the simulation is a percentage, so the arithmetic is identical at any account size. A larger balance changes what the fall costs you in currency, not how likely it is.
What about averaging into a position, is that the same thing?
It is the same thing whenever the second entry exists because the first one is losing. Adding to a position that was planned in advance as a scaled entry is a strategy. Adding because you are down is doubling with better manners.
Is a daily loss limit enough on its own?
It is the single most useful rule, but it is not enough by itself, because it bounds the day and not the trade. Under a doubling habit you can reach a two loss limit having risked one R and then eight. Cap the size and the day separately.
How long before I know the rules are working?
You will know the rules are being followed within two weeks, because compliance is countable. Whether the edge underneath them is real takes a great deal longer, and anyone who tells you otherwise is selling something. The rules are what keep you solvent long enough to find out.
Where this leaves you, and what we do about it
If you take one thing from this, make it the ratio. Trading too often made a serious drawdown about four and a half times more likely. Increasing size after a loss made it about seventy two times more likely. Both habits deserve attention, but they do not deserve equal attention, and most of the advice written on this subject spends its time on the cheaper of the two.
The practical version is short. Decide your risk once and never per trade. Count your trades. Calculate your size instead of choosing it. Put a gap between a loss and the next order. None of that requires you to become a calmer person, which is fortunate, because nobody becomes a calmer person during a losing run.
Gold Empire is a free Telegram channel where we work through market context in public, including the days the read does not work out. There is no promise of profit, because there honestly cannot be one. What there is, is a group of people trying to stay in the game long enough for competence to start paying.
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About the author. Matthew writes the Gold Empire market notes. He spends most of his time on the unglamorous half of trading, position size, dealing costs and the arithmetic of recovery, on the view that surviving the first two years is what makes the rest of it possible.
Disclaimer: This article is general educational content about how leveraged markets work. It is not financial advice and it is not a recommendation to buy or sell anything. Trading leveraged products carries a high risk of losing money rapidly. No entry, stop or target discussed should be treated as a signal. Figures attributed to external sources are linked so you can check them, and figures I have calculated are shown with the assumptions they rest on so you can change them.
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