Trading Psychology: Recognizing FOMO, Overconfidence and Loss Aversion

A simple mental model: warning lights in a cockpit

Think of emotions and thinking habits as warning lights in a cockpit. A light does not tell you exactly which component has failed. It says: inspect before continuing.

FOMO may light up as price runs without you. Overconfidence can appear when certainty grows faster than the evidence. Loss aversion may show itself when the discomfort of booking a loss moves a pre-defined exit.

The model has an important limit. A strong emotion does not automatically create a poor decision, and a rule change is not automatically irrational. New market information can justify changing the plan. The warning light therefore supplies no diagnosis; it triggers a specific check.

Three patterns in plain language

FOMO: “If I do not act now, the opportunity is gone”

FOMO means fear of missing out. The foundational research studied concern about missing rewarding experiences, mainly in the context of social needs and media use. It did not directly test options trading.

FOMO in trading is therefore a bounded transfer: a useful name for urgency when visible price movement or other people’s activity shortens your own decision process. The pattern leaves evidence when you abandon a price limit, increase size or skip a checklist without receiving new information about the trade itself.

Overconfidence: “My view no longer needs a challenge”

Overconfidence here means certainty in a judgement has moved ahead of its evidence. It can follow a winning streak, but it does not have to. An observable trail might be larger positions, missing counterarguments or treating an established rule as unnecessary for this one trade.

A widely cited study by Barber and Odean connected heavier trading in household stock-account data with an overconfidence hypothesis. It studied stocks rather than options and cannot diagnose an individual trader. A narrower review question is more useful: Which testable evidence justified the added certainty or size?

Loss aversion: “It is not a real loss until I close it”

Prospect theory describes choices relative to gains and losses and shows that people can evaluate risk differently in the loss domain than in the gain domain. Later work formalised the stronger weighting of losses than comparable gains as loss aversion.

In trading, that idea can frame a review when someone moves an exit, keeps a losing position without a new thesis or adds risk mainly to avoid realising the loss. Holding a losing position is not proof of loss aversion. New information or a wider original plan may explain the decision on its merits.

Turn a feeling into an observable trail

An emotion label on its own is too vague. “I had FOMO” does not explain what happened inside the trade. Separate four layers instead:

This separation blocks two shortcuts. A green trade does not retroactively repair the rule break. A red trade does not prove that FOMO or another emotion caused it.

A neutral trading scenario

Assume you recorded this plan for a fictional call spread before the session:

maximum debit: 2.20
position size: 1 contract
thesis invalid below underlying price 98
no entry after a move greater than 2% without a fresh review

The underlying rises quickly. The displayed debit reaches 2.80. You buy three contracts because “the move will be gone otherwise.” Later, the underlying drops below 98. You keep holding because you do not want to close at a loss.

What can you responsibly say?

• The higher debit and triple size are visible plan changes under time pressure. They fit a FOMO review pattern.
• Holding below 98 is another deviation. Loss aversion is one hypothesis if avoiding the realised loss is the only explanation.
• Overconfidence becomes a supported hypothesis only when certainty without new evidence explains the larger size or missing counterargument.
• Whether the position eventually wins or loses answers none of those process questions.

The scenario is not an instruction. It shows how to trace a psychology label back to concrete changes instead of using the label as a story after the event.

Ask different questions before, during and after

Before the trade: create a comparison point

Record the thesis, counterargument, position size, price boundary and invalidation condition. Without that comparison point, you cannot reliably tell a reasoned adaptation from an impulsive reaction later.

During the trade: inspect the change, not just the emotion

Do not ask only “How do I feel?” Ask: “Which number or rule do I want to change right now?” A short pause can reveal whether new information or only new urgency has appeared.

After the trade: separate process from outcome

First assess whether the recorded plan was followed or changed for a stated reason. Record the financial result separately. A rule-compliant loss can remain a good loss, while a profitable rule break remains available for review.

Add practical friction without promising willpower

A process can slow the decision down without claiming to eliminate emotion:

• record the maximum contract count before opening the order ticket;
• write down the limit and invalidation condition;
• repeat the position-sizing calculation before an unplanned size increase;
• write one reason for each plan change;
• apply a self-defined no-trade rule when no reason exists;
• mark rule adherence and outcome separately in the review.

None of these steps guarantees better decisions or results. They create a trail that can be inspected later.

What these labels do not mean

• FOMO does not explain every fast order.
• Confidence and overconfidence are not the same thing.
• Continuing to hold a losing position does not prove loss aversion.
• Emotions do not make someone unfit to trade.
• A rule break does not automatically cause the later loss.
• A profitable trade does not automatically validate the decision.
• Psychology research from other settings does not transfer one-to-one to options traders.

Feynman check: explain the patterns without jargon

Describe each pattern to someone who has never heard the three terms:

1. FOMO: “I changed my entry because visible movement created time pressure, not because my review found new evidence.”
2. Overconfidence: “I became more certain or traded larger even though my evidence did not improve.”
3. Loss aversion: “I changed my exit mainly so I would not have to realise the loss now.”

Then add the boundary sentence every time: “New information can make the same action reasonable.” If your explanation stops at “emotions are bad,” it misses the distinction between feeling, action, reason and outcome.

Questions for the decision and review

1. What was my recorded plan before the price moved?
2. Which number or rule do I want to change right now?
3. What new, testable information supports the change?
4. Would I choose the same size if the previous trade had lost?
5. Am I avoiding the act of realising a loss, or has the thesis changed?
6. Does the decision still follow my process if the trade loses immediately?
7. Can I record trigger, thought, action and outcome separately?
8. Which repeated deviation should I look for in the next review?

If you use MindTrajour, the documentation explains how to record emotions on a trade and use pre-trade checklists to create a comparison point before entry. Both document your process; neither promises discipline or performance.

The next fundamentals lesson turns those comparison points into a repeatable sequence: what to capture before, during and after a trade in a trading journal.