Trading Journal: What to Record

At a glance

Purpose: Separate strategy quality from execution quality
Most valuable fields: Planned R versus realised R, and rule adherence
Most neglected entries: Trades you skipped and rules you broke
Review cadence: Weekly for execution, quarterly for strategy

Key takeaways

Without a journal you cannot tell whether poor results come from the strategy, from your execution, or from normal variance.
The single most revealing metric is planned R versus realised R, which exposes the disposition effect directly.
Record the trades you did not take. Skipped signals are where selective execution hides.
Rule adherence should be tracked as a percentage, separately from profit and loss.
Reviews should examine batches of trades rather than individual outcomes, because single trades carry almost no information.

What to record for every trade

Field	Why it matters	Reveals
Date and time of signal	Establishes the decision moment	Delay between signal and action
Instrument and setup name	Groups trades for analysis	Which setups actually work
Planned entry, stop, target	The intention before the outcome	Planned R
Actual entry and exit fills	What happened	Slippage; realised R
Position size and risk percentage	Whether sizing was correct	Sizing errors; correlation with deviations
Rule adherence: yes or no	The behavioural metric	Execution quality independent of outcome
Deviation description, if any	What you did differently and why	Patterns in your own failures
Market context	Regime, index trend, volatility	Conditions where the setup works
Emotional state	One or two words is sufficient	Correlation between state and deviation
Screenshot or chart reference	Enables later review	Pattern recognition over time

The metrics that reveal problems

1. PLANNED VS REALISED R
   For each trade:
      planned_R  = (target - entry) / (entry - stop)
      realised_R = (exit - entry) / (entry - stop)

   Compare the averages across 50 trades.
   A persistent gap means the disposition effect:
   you are cutting winners or holding losers.

2. RULE ADHERENCE RATE
   trades following every rule / total trades
   Below 95% means execution, not strategy, is the problem.

3. SLIPPAGE
   mean(actual fill - intended fill), by order type
   Compare against your backtest assumption.

4. SELECTION BIAS
   signals generated vs signals taken
   If you skipped 30% of signals, your live results
   describe a different strategy than you tested.

The four calculations that diagnose most trading problems.

These four numbers, computed over fifty trades, identify the great majority of retail trading problems. Each points at a different cause and a different remedy, which is exactly what a diagnostic should do.

The review process

1
Daily, five minutes: complete the log
Fill in every trade and every skipped signal while the reasoning is still accessible. Reconstructing from memory a week later produces fiction.
2
Weekly, twenty minutes: execution review
Rule adherence rate, deviations and their causes, slippage against assumption, and signals skipped. Strategy quality is not assessed here.
3
Monthly, thirty minutes: pattern review
Look for correlations: do deviations cluster at particular times, after particular events, or at particular position sizes?
4
Quarterly, two hours: strategy review
Compare realised expectancy, win rate, and average R against the backtest. Check whether the drawdown is within the simulated distribution.
5
Categorise every loss
Invalid setup, poor execution, or unfavourable outcome. Only the first two require action, and they require different actions.
6
Change one thing at a time
Multiple simultaneous changes make attribution impossible. Change one control, then measure for fifty trades.

Why most journals fail

They record outcomes rather than intentions. Without the planned entry, stop, and target, you cannot compute planned R and the most valuable comparison is unavailable.
They omit skipped signals. Which hides selective execution, one of the largest leaks.
They are filled in retrospectively. Memory reconstructs reasoning to fit the outcome, so the record becomes a narrative rather than data.
They are never analysed. A log that is written and not reviewed is a chore with no output.
They focus on individual trades. Single trades contain almost no information; patterns across fifty do.
They mix execution and strategy questions. Which makes it impossible to tell which is failing.
They are too detailed to maintain. A journal with thirty fields is abandoned within a month. Ten fields consistently recorded beats thirty recorded occasionally.

A minimal template

Date | Instrument | Setup | Planned entry/stop/target |
Actual entry/exit | Size & risk% | Planned R | Realised R |
Rules followed (Y/N) | Note

Plus a separate short list each day:
   SKIPPED: instrument, setup, reason

Weekly summary line:
   Trades: 7   Adherence: 6/7 (86%)
   Planned R avg: 2.1   Realised R avg: 1.3
   Slippage: 0.04% avg   Signals skipped: 2

That weekly line, tracked over a quarter, tells you
more about your trading than any amount of chart study.

Ten fields, recorded daily, sufficient for every diagnostic above.

Frequently asked questions

What should I record in a trading journal?

At minimum: the planned entry, stop, and target before the trade; the actual fills; position size and risk percentage; whether every rule was followed; and a one-line note. Separately, record every signal you skipped and why. Those fields support all the diagnostics that matter.

How do I use a trading journal to improve?

Compute four things across fifty trades: planned versus realised R, rule adherence rate, slippage against assumption, and the proportion of signals skipped. Each identifies a different problem with a different fix. Reviewing individual trades produces stories; reviewing batches produces diagnoses.

Should I record my emotions?

One or two words is enough, and it is genuinely useful because the correlation between emotional state and rule deviation is usually strong and specific. Long narrative entries about feelings tend to be written instead of the numerical fields that actually support analysis.

How often should I review my journal?

Complete it daily, review execution weekly, look for patterns monthly, and assess the strategy quarterly. The separation matters: mixing execution and strategy questions makes it impossible to tell which is failing, and reviewing strategy during a losing week reliably produces the wrong conclusion.

Should I use journaling software or a spreadsheet?

Either, provided it is used consistently. Software can import fills automatically, which removes friction, but it frequently emphasises performance statistics over the intention fields that matter most. A spreadsheet with ten well-chosen columns, filled in daily, outperforms sophisticated software used occasionally.

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Referenced by

Educational use only. This guide explains how a strategy works. It is not investment advice, not a recommendation, and no result described here is a forecast. Test any approach on historical and out-of-sample data, size positions conservatively, and never risk money you cannot afford to lose.