Trading Psychology for Prop Challenges5 Patterns and How to Spot Them

Revenge Trading

You take a loss. Within minutes you are back in — on a setup you would normally skip.

The internal logic is that the money is recoverable, and that it has to be recovered now. The loss feels like something the market did to you rather than an expected cost of trading, and the impulse is to correct it immediately instead of waiting for the next valid opportunity. There is also an unspoken accounting error underneath: you are trying to win back that specific money, as if dollars carried the identity of the trade that lost them.

Behavioural research describes the mechanism: once people are in a loss, they become more willing to take risk to get back to where they started (Kahneman & Tversky, 1979). What makes it worse in trading is that the revenge trade is usually oversized and poorly located, so it tends to lose too — and now you are two losses deep, with a smaller buffer and more urgency than you had at the start.

How to recognise revenge trading: the time gap between a losing exit and your next entry drops sharply below your average. If your typical spacing is around an hour and you find entries a few minutes after a loss, those are not planned trades. Cross-reference with size: revenge entries are usually larger than your normal position, and their win rate is typically well below your average.

FOMO Entries

Price moves without you. You watch it go, decide you have missed it, watch it go further — and then enter, near the end of the move, at the worst available price, with no plan.

The driver is not greed so much as regret. The pain of watching a move you identified but did not take registers as a genuine loss, even though nothing left your account. Entering turns that ongoing discomfort into action, and action feels like relief. The justification writes itself: momentum is strong, it is clearly trending, there is still room.

The structural problem is that FOMO entries are late. You enter after the move has proven itself, which means after the easy part. Your stop loss also has to sit further away — or you place it somewhere it would not normally make sense.

How to recognise FOMO: compare the average entry price of your planned trades with your unplanned ones on the same instrument. The unplanned, FOMO entries tend to cluster near the point where the move reverses, putting you on the wrong side of it, and they generally show a materially worse average entry. A second tell: these trades usually have no documented invalidation level, because there was none — you decided where the stop went after you were already in.

Confirmation Bias

You form a view before the session starts. Maybe you heard something in the news or from friends, maybe you simply like the name of the stock, or you have a feeling something is about to happen — with no real data behind it. From that point on, everything you read seems to support it. Not because you ignore the other side, but because the supporting evidence feels more relevant and the contradicting evidence feels like noise.

Psychologists call this confirmation bias: seeking out or interpreting evidence in ways that favour a belief you already hold (Nickerson, 1998). It is the most invisible pattern on this list, because it does not feel like a bias at all. It feels like having a thesis, which is something you are supposed to have. The distortion is in the weighting: information that agrees with your position is processed as confirmation, and information that disagrees is processed as an objection to be answered. You will notice the contradicting data. You just will not act on it.

In a live position this becomes self-sealing. Every tick your way is proof. Every tick against you is a shakeout, a stop hunt or an overreaction that will be corrected.

How to recognise confirmation bias: your reasoning is dated before your entry, and your notes contain contradicting information that you acknowledged and dismissed in the same sentence. Look specifically for the word “but”: “PMI came in soft, but the trend is intact.” That construction is the bias leaving a fingerprint. If your thesis has never changed intraday in response to data, that is not conviction — it is a closed loop.

Sunk Costs and Averaging Down

The position is losing. Rather than close it, you add to it — improving your average price, so that a smaller recovery gets you back to flat.

The reasoning sounds like value: if it was worth buying at $40, it is better value at $38. In long-term investing, that argument sometimes holds. In a leveraged account with a drawdown limit, it does not, because you have neither the time nor the buffer to be right eventually.

What is really happening is that you have committed — money, analysis, a stated view — and abandoning the position means writing all of it off. This is the sunk-cost effect: the more has already been invested in a course of action, the stronger the pull to continue it (Arkes & Blumer, 1985). Adding keeps the story alive. Crucially, it also changes the question from “Was I wrong?” to “How do I get back to breakeven?” — a far more comfortable problem to work on.

How to recognise it in your journal: your position size increases while your thesis deteriorates. That inversion is the key sign — risk rising at exactly the moment conviction should be falling. In practice, look for every trade where you added at a worse price than your original entry, and check how those trades ended. They reliably produce your largest single losses, and usually the one that ends the account. Within a prop challenge, that is the loss that breaches the daily or maximum drawdown — see Risk Management in Prop Trading.

Recency Bias

Your last two or three results shape your next decision far more than your last two or three hundred do.

Recent outcomes are easy to recall, while your long-term statistics are abstract and require looking something up — and people judge how likely something is by how easily examples come to mind (Tversky & Kahneman, 1973). So a system that has produced a positive return over four hundred trades gets abandoned after six bad ones, and a setup that just worked twice gets sized up on the third occurrence, regardless of its quality. You are not evaluating the strategy; you are drawing conclusions from an unrepresentative sample of five trades or fewer.

This also drives the constant switching that holds developing traders back. A method is discarded during its normal drawdown and replaced with something that has recently worked for someone else, which is then discarded during its normal drawdown. The trader concludes that nothing works, when what actually happened is that nothing was given a large enough sample.

How to recognise recency bias: plot your risk per trade against the outcome of the previous trade, rather than against the quality of the setup. If your size follows what just happened instead of what is in front of you, that is recency bias. A related tell: the dates on which you changed your rules cluster tightly after losing streaks, never after neutral periods.

Turning the Five Patterns Into a Routine

Each pattern above leaves a trace that a trading journal can catch — but only if the journal records more than the result. For every trade, note:

• the time since your previous exit,
• your position size compared with your normal size,
• whether the trade was planned before the session, and its invalidation level,
• any information that contradicted your view, and what you did with it,
• whether you added to a losing position.

Reviewed weekly, these five fields show which pattern is costing you the most. That is the one to work on first.

Frequently Asked Questions

What are the most common trading psychology mistakes?

Revenge trading, FOMO entries, confirmation bias, adding to losing positions because of sunk costs, and recency bias are among the patterns that most often damage a trader’s results.

How do I know if I am revenge trading?

The clearest sign is timing: entries placed within minutes of a losing exit, usually with a larger size than normal and on setups you would normally skip.

Why is averaging down dangerous in a prop challenge?

A challenge account has fixed daily and maximum drawdown limits. Adding to a losing position increases risk exactly when the original idea is failing, and it can turn one loss into a rule breach.

Can a trading journal really prevent these mistakes?

A journal does not prevent mistakes by itself. It makes them visible — and a pattern you can see in your own data is far easier to stop repeating.

Sources

• Kahneman, D., & Tversky, A. (1979). Prospect Theory: An Analysis of Decision under Risk. Econometrica, 47(2), 263–291. doi.org/10.2307/1914185
• Tversky, A., & Kahneman, D. (1973). Availability: A Heuristic for Judging Frequency and Probability. Cognitive Psychology, 5(2), 207–232. doi.org/10.1016/0010-0285(73)90033-9
• Arkes, H. R., & Blumer, C. (1985). The Psychology of Sunk Cost. Organizational Behavior and Human Decision Processes, 35(1), 124–140. doi.org/10.1016/0749-5978(85)90049-4
• Nickerson, R. S. (1998). Confirmation Bias: A Ubiquitous Phenomenon in Many Guises. Review of General Psychology, 2(2), 175–220. doi.org/10.1037/1089-2680.2.2.175