Analyse Trading
Available on Google Play
Install

The trading journal: record, measure, improve

6 min readFreeAnalyse-Trading team
Key takeaways
  • A journal separates strategy mistakes from discipline mistakes.
  • Log every trade as it happens: reason, screenshot, emotion and whether you followed the plan.
  • Stats only mean something with a big enough sample: look at series of trades, not a single trade.
Contents
  1. What to record for every trade
  2. The stats to track
  3. Cross-check the data to find your real problems
  4. The weekly review
  5. Automate the tedious part

A trader without a journal is like an athlete who never watches their own games. They remember the highlights, forget the mistakes and keep repeating them. The trading journal is the simplest and most underrated tool for getting better: it turns vague memories into data.

Its main job is to answer a question your memory can't settle. Am I losing because my method doesn't work, or because I'm not following it? The two answers lead to opposite fixes.

What to record for every trade

There are two kinds of information: objective data, which your platform already knows, and subjective data, which only you can write down. The second kind is often the more useful.

  • The facts: date and time, instrument, direction (buy or sell), entry price, stop, target, size, exit price, result in money and in R (a multiple of the initial risk).
  • The reason: which setup from your plan justifies the trade, in one sentence. If you can't write it, the trade shouldn't have existed.
  • The screenshot: the chart at the moment of entry, with your levels drawn, then a second screenshot at the exit.
  • The emotion: your state before entering (calm, impatient, frustrated after a loss, euphoric after a win), rated on a simple scale.
  • Plan compliance: yes or no, for the entry, the stop, the size and the exit. If no, what went off-plan.
  • The lesson: one line, written after the close, about what you would or wouldn't do again.

The stats to track

Once you've logged a few dozen trades, your journal becomes a database. Here are the numbers that really matter, and what they tell you.

StatisticCalculationWhat it reveals
Win rateWinning trades ÷ total tradesHow often you win, meaningless on its own
Average win and average lossMean of wins, mean of lossesWhether you cut winners too early
Expectancy(Win rate × average win) − (loss rate × average loss)What a trade earns on average
Profit factorGross profit ÷ gross lossAbove 1, the strategy makes money
Maximum drawdownLargest drop from an equity peakWhat you need to be able to sit through
Plan compliance rateCompliant trades ÷ total tradesYour real discipline
Expectancy per trade = (Win rate × Average win) − (Loss rate × Average loss)
Expectancy calculated from the journal
Number of trades
40
Winning trades
16 (40%)
Average win
€150
Losing trades
24 (60%)
Average loss
€75
Expectancy per trade
+€15

(0.40 × €150) − (0.60 × €75) = €60 − €45 = €15. With only 40% winning trades, the strategy stays positive because the wins are twice the size of the losses.

1:11:21:31:420 %40 %60 %ProfitableLosingR:R ratio → · win rate ↑
Expectancy combines win rate with the average size of wins and losses: a low win rate can still be profitable.

Cross-check the data to find your real problems

The journal really pays off when you start filtering. Compare your results by setup, by instrument, by time of day and by the emotion you noted. You might find that trades taken right after a loss have negative expectancy, or that gold works less well for you than EUR/USD.

For those filters to work, use fixed categories. Give each setup in your plan a short name, pick a simple emotion scale (1 to 5, for example) and always log the time in the same format. A journal filled in with different wording every time becomes impossible to sort.

Above all, compare on-plan trades with off-plan trades. If the first group is positive and the second negative, your method isn't the problem: your discipline is. If both are negative, it's the method that needs work, in a backtest, before you keep risking money.

The weekly review

Once a week, at a fixed time when the market is closed, spend 30 to 45 minutes going back through your journal. The weekend works well for forex traders, since the market is shut.

  1. Go back over each trade of the week with its screenshots, without looking at the result first.
  2. Tick off every deviation from the plan and sort them: impulsive entry, stop moved, size too big, early exit.
  3. Update your cumulative stats, not just this week's.
  4. Choose one single improvement for next week and write it at the top of your plan.
  5. Note your general state: fatigue, outside stress, events that may have weighed on you.

Automate the tedious part

Copying every entry and exit price by hand puts plenty of traders off after a few weeks. The fix: let the platform record the facts, and keep your energy for the part nobody else can fill in for you, the reason, the emotion and the lesson.

The format barely matters: spreadsheet, notebook, app. What matters is consistency. Fill in the subjective part right after the trade closes, while your feelings are still fresh, not in the evening from memory.

On Analyse-Trading, a connected trading account fills in your trade history automatically from your broker: prices, sizes, results and stats are calculated with no manual entry. All that's left is to add what actually makes you better, your personal notes and your review.

Check your understanding

0 / 3
1. Win rate 40%, average win €150, average loss €75. What's the expectancy per trade?
2. Your on-plan trades are positive and your off-plan trades negative. What's the conclusion?
3. A trade wins twice the initial risk. How do you record it in R?

Educational content, not investment advice. Leveraged trading carries a high risk of losing money rapidly: most retail investor accounts lose money on these products.