Chasing Losses — How a Small Loss Becomes a Catastrophe
I know this moment from hundreds of trading journals I have read over the years, and from my own first years at the screen. A losing trade closes in the red, and one sentence forms in your head: "I'll win it back on the next one." Your finger drifts to the button on its own, the position is bigger than the last, because surely it has to recover what just vanished from the account. Half an hour later the loss is no longer small and controlled — it is twice the size, and calm has turned into a chase. This is not a strategy failure. This is chasing losses.
What chasing losses actually is
Chasing losses is trying to recover money just lost on one trade by taking another, opened straight away and usually larger. The key word is "straight away": the decision comes not from a fresh, good signal but from the state of the account. The goal stops being a good trade and becomes getting back to flat. That shift looks small, yet it changes everything — from that point on, the size and frequency of your positions are wired to an emotion, not to a plan.
It usually takes three forms. The first is the break-even reflex: holding a losing position against the plan "until it comes back to my entry price," because closing below it feels like final defeat. The second is averaging into a loser — a new order meant to lower the average entry price. The third is the classic gambler's escalation: after a loss I double the stake, after the next one I double again, convinced it "has to bounce eventually." Each tells a different story, but all lead to the same result: risk grows, not decision quality. I cover that mechanism in more depth in the piece on revenge trading, which is its most emotional variety.
Why a loss hurts more than a gain feels good
Underneath it all runs a mechanism described by Daniel Kahneman and Amos Tversky in prospect theory. Their research suggests the pain of a loss is roughly twice as strong as the pleasure of an equal-sized gain. A hundred euros lost weighs more in the mind than a hundred euros earned — not because someone is weak, but because that is how human valuation works.
This asymmetry has a consequence that explains the whole chase. In the domain of gains we prefer sure, smaller wins — we take profit too early just to keep it. But in the domain of losses we turn risk-seeking: we prefer an uncertain shot at breaking even over a certain, accepted loss. A trader who is down does not evaluate the next trade coldly. They take it from the loss domain, where bigger risk feels rational, because it promises to avoid the pain. Add the sunk-cost fallacy: "I have already put so much into this position," so closing feels like waste — even though the committed capital is irreversible and, from the standpoint of the next decision, does not exist. Accepting a loss as a normal cost of doing business is its own hard subject, which I develop in loss acceptance.
"For most people, the fear of losing is stronger than the hope of gaining." — Daniel Kahneman, Thinking, Fast and Slow, 2011
How a small loss becomes catastrophic
The most dangerous thing about the chase is that it has its own mathematics. Averaging into a loser lowers the average entry price and tempts you with the promise that a smaller bounce will get you back to flat. But in the same move it grows the position size, and therefore the amount risked on every further adverse tick. What looks like sensible "averaging" on the chart is, on the risk sheet, multiplying exposure at the worst possible moment — exactly when price is already questioning your thesis.
The numbers are arbitrary, but the direction is always the same: the loss grows non-linearly, because each new position is larger than the last. That is why one bad day can wipe out the gains of many weeks. The scale of such drawdowns, and the time it takes to recover them, is the subject I cover in maximum drawdown — it is worth seeing how asymmetric the road down and back really is.
Signs you have started to chase
The chase is easier to stop when you catch it early, before you open the position you should not. The signals are fairly repeatable, and most traders will recognise themselves in them.
- The sentence "I have to win this back today" — the moment the goal stops being a good trade and becomes getting the account back to flat.
- Position size grows after a loss — the next entry is bigger than the last, even though the signal is no stronger.
- Shortening the horizon — you move from trades planned over hours to a one-minute "quick bounce."
- Negotiating with your own stop — you push the stop loss further out "to give the position room," though the thesis no longer holds.
- Holding to the entry price — you refuse to close below your entry level, because it would feel like admitting defeat.
If you recognise two or three of these in a single session, you are probably no longer trading from a plan but from the loss domain. It is a state closely related to tilt — the difference being that chasing often wears a colder, "mathematical" story, which makes it harder to spot in yourself.
What to do tonight to break the chase
Chasing losses cannot be beaten by willpower in the moment you are already down — by then the loss domain is thinking for you. The decisions have to be made earlier, in cold blood, and turned into simple limits that work on their own. Here are four steps for tonight.
First, set a daily loss limit. Decide on an amount or percentage of capital — many traders use two or three percent — beyond which you end the day, no exceptions. Write it down and treat it as an order issued by the sober version of you. When you hit it you do not negotiate; you close the platform.
Second, add a walk-away rule. After any single loss above your threshold, you get up from the desk for at least fifteen minutes. Leaving the room is a stronger variable here than good intentions — it cuts the "just one more trade" path. If you need a fast way to quiet the stress response, reach for the breathing tools Andrew Huberman documents. For the discipline behind making such rules stick, see the broader framework on trading psychology at ForexMechanics.
Third, fix your position size. Size risk by the one-percent rule, so the next entry physically cannot be larger than the last. That single condition switches off the doubling mechanism on its own. How to calculate it step by step is in the one-percent rule.
Fourth, separate the next trade from the last. Every new entry must stand on its own signal, as if the account were exactly flat and the previous loss had never happened. This is the hardest of the four habits, because it requires accepting that lost capital is irreversible and not part of the equation. But it is the one that turns a loss from an open wound into an ordinary, booked cost of doing business. Three simple limits plus one mental habit — and the escalation path disappears before a small loss has time to grow.
Sources & bibliography
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Daniel Kahneman Thinking, Fast and Slow · teoria perspektywy i awersja do straty — strata boli silniej niż cieszy równy zysk, Farrar, Straus and Giroux 2011 www.penguinrandomhouse.com ↗
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American Psychological Association APA Dictionary of Psychology — loss aversion · definicja awersji do straty jako tendencji, w której potencjalne straty ważą bardziej niż równoważne zyski dictionary.apa.org ↗
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Mark Douglas Trading in the Zone · rozdziały o akceptacji ryzyka i o tym, dlaczego trader nie chce zamknąć stratnej pozycji, Prentice Hall Press 2000 www.penguinrandomhouse.com ↗
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Andrew Huberman Huberman Lab — Tools for Managing Stress & Anxiety · neurobiologia reakcji stresowej i narzędzia jej szybkiego wyciszania, Stanford School of Medicine www.hubermanlab.com ↗
Frequently asked
What exactly is chasing losses, and how is it different from revenge trading?
Chasing losses is trying to recover money just lost on one trade by taking another, usually larger, position opened straight after the loss. The goal is not a good setup but getting the account back to flat. Revenge trading is one variety of it — a more emotional one, driven by anger at the market or at yourself. Chasing losses can wear a colder story: the trader justifies it with arithmetic ("one good trade and I am back to even"), even though the mechanism underneath is the same. The common denominator is detaching the size and frequency of the next position from its own justification and tying them instead to the state of the account. That is why both behaviours lead to the same cascade: risk grows, not decision quality.
Why is it so hard to just accept a loss after it happens and move on?
The culprit is loss aversion, described in prospect theory by Daniel Kahneman and Amos Tversky. Their research suggests the pain of a loss is roughly twice as strong as the pleasure of an equal-sized gain. That produces a counter-intuitive effect: in the domain of gains people prefer a sure, smaller win, but in the domain of losses they turn risk-seeking, anything to avoid admitting defeat. A trader who is down does not evaluate the next trade coldly — they take it from the loss domain, where bigger risk feels rational because it offers a chance to dodge the pain. Layer on the sunk-cost fallacy: because "I have already put so much into this position," closing at a loss feels like waste, even though from the standpoint of future decisions the capital committed is irreversible and should not affect what you do now.
How does averaging into a loser turn a small loss into a large one?
Averaging down — adding to a position that is already in the red — lowers the average entry price and tempts you with the promise that a smaller bounce will get you back to flat. The trouble is that it simultaneously grows the position size, and therefore the amount risked on every further adverse tick. Imagine a trader who loses 1% of capital on the first entry, then doubles the position to "improve the average." If the market moves further against them, the second, larger position loses faster than the first, and the combined loss grows non-linearly. After a few such steps a small, planned loss of one or two percent can balloon into a double-digit drawdown in a single session. The very thing that looks like "averaging" on the chart looks, on the risk sheet, like multiplying exposure at the worst possible moment — exactly when price is already questioning the thesis.
What single rule most reliably stops the chase?
The most effective single mechanism is a daily loss limit set in advance, in cold blood, before you sit down at the screen. Decide on an amount or percentage of capital — many traders use two or three percent — beyond which you end the day, no exceptions. The limit works because it moves the decision out of the moment when you are already in the loss domain and thinking emotionally, into the moment when you are thinking calmly. When you hit it you do not negotiate with yourself; you close the platform, because the decision was made by an earlier, sober version of you. The second pillar is fixed position sizing under the one-percent rule, so the next entry cannot be bigger than the last, plus a rule to physically leave the screen after any loss above a single-trade threshold. Three simple limits together cut the escalation path before a small loss has time to grow.