Trader psychology: what and how to measure

Trader psychology: what this lesson measures

This lesson shows how to turn trading psychology into numbers: what to record after every transaction, how to calculate reaction time after a loss, and how to decide when to end the session. It is for people who already have a plan and a 1–2% risk rule but cannot say whether they traded in line with it in a given week, or only felt good. After reading, you will have a ready sheet for five sessions and four indicators that can be calculated without judging yourself.

Behaviour can be counted

The sentence I was nervous is not data, because it cannot be repeated or compared with last week. The sentence in this session I made eleven entries, two of which without a recorded stop is data: it has a numerator, a denominator, and a date.

The entire method consists of turning descriptions into events you can tick off at the moment they occur. The point is not to feel no tension — the point is that tension should not be the only source of information about your process. The assessment after five sessions then rests on a table, not on a memory that conveniently selects events.

Four measurable indicators

Record four numbers. Each has a formula, and each can be calculated in a spreadsheet.

Why median and not average: a single entry an hour later will inflate the average and hide ten entries made within two minutes. The median shows the typical case, and it is the typical case that describes a habit.

Set the thresholds in advance and write them in the plan as numbers. A starting point that can later be tightened is shown in the table below. All values in it are illustrative and do not come from a study.

Protocol: five measurement sessions step by step

1. Before the session, record the start and end time and the maximum number of entries.
2. Write down three entry criteria from your plan in a notebook. Without them, the compliance indicator has no definition.
3. During the session, note every entry with the time, the setup, and whether the stop was recorded in the broker’s system.
4. After every losing position closes, record the closing time. The time of the next entry will give the reaction time.
5. After the session ends, calculate the four indicators from the table above and enter them in the sheet at the end of the lesson.
6. Complete the emotional state log for the moments when you departed from the plan.
7. After five sessions, calculate the median reaction time and the average compliance. Choose one change in the plan and mark it with a version date.

Step 7 is easy to skip, and without it measurement alone changes nothing. If after five sessions you introduce twelve corrections at once, you will not know which one worked. One change per measurement cycle lets you attribute the effect to the cause.

Emotional state log: definition of an entry

The log is not for describing experiences. It is for linking a state to a concrete decision, so that after a week you can check whether a relationship exists between them. An entry has six fields and a fixed format:

Two notes on the format. First, the state field is a self-assessment, so it only works together with the other fields — the number 3 without an event and a decision means nothing. Second, the trigger field describes a fact, not an interpretation: stop executed instead of the market tricked me. Evaluation in that field contaminates the data, because after a week you will not distinguish the event from your commentary on it.

Reaction time after a loss

The simplest measurable behaviour indicator you can collect is the interval between closing a losing position and opening the next one. You record two times and subtract:

reaction time in minutes = time of next entry - time of loss close

From five sessions you will gather more than a dozen measurements. Arrange them in ascending order and take the middle value — that is the median. Do not delete extreme values, but describe them in the log, because they most often explain what happened.

A short reaction time is not a mistake in itself — the mistake is a short reaction time combined with a fall in plan compliance. That is why the thresholds in the indicators table only make sense together: two metrics at once or neither.

It is worth measuring a second time as well, less often described: the interval from reaching the daily limit to actually closing the platform. The execution rule and pause thresholds are described in the lesson Daily limit and drawdown; here only the number of minutes it took you to execute your own rule matters.

Three hypotheses the sheet lets you test

Instead of general statements about emotions, test three specific relationships on your own data:

1. After a loss I trade more often. Count the number of entries in the thirty minutes after closing a loss and compare it with the number of entries in the thirty minutes after closing a profit. If the first is clearly larger, your pace depends on the outcome of the previous transaction.
2. The longer the session, the less often I check criteria. Divide the session into the first and last hour and compare plan compliance in both intervals. A drop in the second part means the session time limit is as important as the trade limit.
3. An outside signal more often ends in an entry without a stop. Mark transactions initiated by someone else’s signal and compare the share of entries without a stop with the rest. If a difference exists, you know which part of the process to fix first.

Each of these hypotheses has a numeric answer and each ends in a concrete conclusion. That distinguishes measurement from brooding about yourself. If one of them is confirmed in your data, the catalogue of concrete mistakes — and the way to tell a process flaw from an ordinary loss — is in the lesson Common beginner mistakes.

Session pre-mortem before the first entry

A pre-mortem is a short record created before the session that describes its worst possible course. Three fields, filled in within two minutes:

The third field must contain an action, not an attitude. The entry I will stay calm is not a reaction, because it cannot be performed or verified. The entry I close the platform and return to it after 30 minutes is a reaction: it has a time, an action, and can be ticked off.

Also record how many variants fit. If the only scenario you can invent is it will be fine, the pre-mortem was not performed — that is information that the plan does not anticipate a bad day.

When the plan says do not trade

Four conditions whose fulfilment ends the session, regardless of how the chart looks:

1. You have reached the daily limit. The rule is a number, not a hint; the return procedure is described in the lesson Daily limit and drawdown.
2. The last three entries were non-compliant with the criteria. The next transaction in the same session will not repair the process; you end trading and return to the journal.
3. The median reaction time after a loss fell below five minutes and plan compliance fell at the same time. Two metrics at once is a signal, one alone is not.
4. You did not perform a pre-mortem before the session. A missing recorded scenario means a missing defined reaction, so there is nothing to enforce.

Sheet: five sessions

Fill it in after each session, on the same day. A row completed the next morning from memory is worth less than a row recorded immediately.

The goal at the end of the cycle: at least 90% of entries compliant with the plan in total, and a median reaction time you can justify, not merely measure. Enter the financial result alongside, but do not treat it as an assessment criterion — five sessions is far too small a sample to settle anything about edge. The method for calculating result in R is described in the lesson Stop-loss and R-multiple.

Work environment as part of the procedure

The number of decisions made in a session matters, so treat the environment as part of the procedure, not as background. One card with the platform instead of five charts, notifications from signal groups turned off, the phone out of arm’s reach, a recorded end-of-work time. With CFDs and on the currency market, where the session lasts almost all day, you have to set the time frames yourself — quotes do not end on their own. The macro publication calendar works the same way: it is either a filter in the setup criteria or a day without positions. The practical application is described in the lesson Calendar in practice.

Someone else’s signal is not excluded, but it goes through the same check as your own: setup, stop-loss level, position size from the 1-2% rule. A signal without those three elements is not a transaction, it is a suggestion.

Common mistakes in measuring behaviour

• Assessing the week from memory. Memory stores the loudest events and skips repetitive, small deviations. A sheet filled in as you go removes that problem.
• Mixing an indicator with an evaluation. The entry lot size too large because I panicked belongs in a note, but not in a numeric column. Columns should contain values, not comments.
• Changing thresholds after the fact. If you raise the compliance threshold in a week that came out weak, measurement loses comparability. Thresholds are set before the cycle.
• Measuring only losing days. Winning sessions also have entries without a stop and entries outside the session window. Measuring only bad days overstates the violation rate and hides a habit that repeats when the result is positive too.
• Collecting data without a decision. Five measurement sessions end with one change in the plan. A sheet without a conclusion is documentation, not improvement.
• Replacing procedure with mood. Mood changes from hour to hour, while the session stop threshold does not. The order is the reverse: first the rule, then its execution.

Measurable exercise

1. Write the thresholds from the indicators section into your plan, with a version date.
2. For five sessions, fill in the sheet and the emotional state log, completing entries on the same day.
3. After the fifth session, calculate plan compliance, median reaction time, the share of entries without a stop, and the share of entries outside the window.
4. Test the three hypotheses from the section above and write an answer for each one, together with the numbers you based it on.
5. Introduce one change in the plan — for example a maximum number of entries per session — and start a new measurement cycle.

Common questions

Does stress in the market mean I am not suited to trading?

Tension with real money is normal and does not settle your suitability. Reduce position size to 0.5% risk, shorten the session, and keep a daily limit. Treat the situation in which you need a quick profit for current expenses separately — then decisions stop being based on a setup.

Can calm replace a trading plan?

No. The plan, position size, and trade record are mandatory, because only they give data. Calm improves execution, but it does not create entry criteria or a session stop threshold.

What about signal groups?

Turn off notifications for the duration of the process measurement. A signal from a group that passes your criteria is fine; a signal accepted without checking is someone else's decision recorded in your sheet as yours.

Why measure plan compliance instead of the result alone?

Because the result of a single session depends largely on the order of transactions and on market volatility, while plan compliance depends only on you. Without that column you cannot tell process improvement from a lucky week: 90% compliance with a loss and with a profit mean the same thing, while 60% compliance with a profit means the result does not come from your plan.