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Trading Psychology · Part 12 of 20

The trading journal: recording decisions, not just results

A list of profits and losses teaches almost nothing. What to record instead, and why the fields that matter are the ones written before the outcome is known.

InnoMP Research Published 31 Aug 2026 · Updated 31 Aug 2026 6 min read
In short

A trading journal records each trade's setup, reasoning, risk and emotional state alongside its result. Its value comes from the fields written before the outcome is known, because those are the only ones not contaminated by hindsight. Reviewed in aggregate, a journal replaces recall — which is biased toward recent and vivid trades — with an accurate distribution.

A trading journal records decisions, not just results. A spreadsheet of profits and losses tells you what happened. It does not tell you why, and it cannot distinguish a good decision that lost from a bad one that won.

The difference is a matter of when each field is written.

Before and after

Journal fields split by whether they are written before or after the outcome is known Two columns separated by a vertical line marked outcome known. The left column headed before entry lists setup, reason, entry, stop, target, planned risk, the case against, and state. The right column headed after exit lists result in R, rule compliance, and one lesson. outcome known →Before entrysetup, from the listreason — one sentenceentry / stop / targetplanned risk in Rthe case againststate: calm / impatienthonestAfter exitresult in Rrule complianceone line: repeat or changecheck for hindsight ▲ InnoMP Research
The left column is the valuable half — the only record of what you actually thought before you knew. Hindsight cannot rewrite it.

Everything recorded before the outcome is known is honest. Everything recorded after is subject to hindsight — the tendency to remember having believed what turned out to be true.

Record in R-multiples

Log results as multiples of initial risk rather than in currency. A full stop-out is −1R; a win at twice the risk is +2R.

A column of R-multiple results revealing cut winners A row of result bars in R multiples. Losses are consistently minus one R. Wins cluster at plus zero point four R rather than the planned plus two R, with a dashed line marking where the planned target sat. planned target +2Rwins clustering at +0.4Rlosses at a full −1Rthis is cutting winners, counted ▲ InnoMP Research
The plan said 1:2. The record says the winners were closed at a fifth of that. Currency amounts hide this; R-multiples cannot.

This makes a gold trade and a EUR/USD trade directly comparable, exposes management honestly — a column of +0.4R exits from 1:2 plans is cutting winners visible at a glance — and makes expectancy computable:

Expectancy = (win rate × average win in R) − (loss rate × average loss in R)

The rule-compliance field

Trades sorted by rule compliance and outcome A two by two grid. Compliant and lost is highlighted and labelled a good trade. Non-compliant and won is highlighted and labelled the dangerous one, because it feels like success. The other two cells are unremarkable. compliantnot compliantWonLostas designedluckyfeels like successa good tradethe plan workinga real mistake60% compliance means you run a different strategythan the one you think you run ▲ InnoMP Research
Recorded independently of profit. The two highlighted cells are what defeats outcome bias.

That separation defeats outcome bias. A trader whose compliance rate is 60% does not have a strategy problem — they have a different strategy than the one they think they are running.

Key takeaway The journal’s job is to replace memory. Memory is biased toward the recent and the vivid, which is exactly the distortion described in Part 4. A record of 60 trades outranks a feeling about the last five — but only if you review the record rather than the feeling.

Reviewing it

Two review cadences, one brief and one thorough Two blocks. The first, after each session, takes five minutes and covers filling in results. The second, every thirty to fifty trades, covers win rate, average R, expectancy, compliance rate and the qualitative pass. After each session · 5 minutesfill in results, note anything unusualthat is allEvery 30–50 trades · properlywin rate · average win and loss in Rexpectancy · compliance ratewhich setups earned their placewhich states correlate with losses ▲ InnoMP Research
Reviewing only recent trades reproduces the bias the journal exists to solve. The aggregate is the point.
Eleven journal fields and the two minutes they take A single row of eleven small labelled fields — date, instrument, setup, entry, stop, target, planned R, state, result R, compliant, and one line — with a note that this is enough to produce every insight in the article. dateinstrumentsetupentrystoptargetplanned Rstateresult Rcompliantone line: repeat or change11 fields · 2 minutes per tradeenough for every insight above ▲ InnoMP Research
An elaborate journal gets abandoned in week three. Eleven fields survives a year, which matters more than any refinement.

Keep it light enough to survive

An elaborate journal gets abandoned in week three. A spreadsheet with a dozen columns does not.

The minimum viable version: date, instrument, setup, entry, stop, target, planned R, state, result R, compliant yes/no, one line. Eleven fields, two minutes per trade. That is enough to produce every insight above, and light enough that you will still be doing it in a year — which matters more than any refinement.

Next: Pre-trade and post-trade routines — what surrounds the journal.

Trading journal Discipline Cognitive bias

Key facts
  • Fields recorded before the outcome are the only ones free of hindsight bias.
  • Recording results in R-multiples makes trades of different sizes and instruments comparable.
  • A rule-compliance field separates good decisions from good outcomes.
  • Aggregate review counters recency and availability bias by replacing memory with a record.

Frequently asked questions

What should I record in a trading journal?

Before entry: the setup, the reason, entry, stop, target, planned risk in R, and how you feel. After exit: the result in R, whether the trade met your written criteria, and one line on what you would repeat or change.

Why record how I feel before a trade?

Because it is the only way to see the correlation between emotional state and outcome. Reviewed across fifty trades, the pattern linking 'frustrated' or 'impatient' entries to losses is usually obvious — and far more persuasive as your own data than as general advice.

What is an R-multiple?

A result expressed as a multiple of the initial risk. A full stop-out is −1R; a win at twice the risk is +2R. It normalises across instruments and position sizes so trades become directly comparable.

How often should I review my journal?

Briefly after each session, and properly on a fixed cadence — monthly, or every 30 to 50 trades. Aggregate review is what counters recency bias; reviewing only the last few trades reproduces the problem the journal exists to solve.

InnoMP Research

Market research, trading education and platform guides from the InnoMP research desk — covering forex, metals, indices and stock CFDs.

Published 31 Aug 2026 · Updated 31 Aug 2026 · Reviewed by InnoMP Compliance

Disclaimer: This content is provided for general informational purposes only and does not constitute investment advice, an offer, or a solicitation to buy or sell any financial instrument. It has been prepared without regard to your individual financial circumstances or objectives. Trading CFDs involves a high risk of loss.

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