Trading Journal Guide: What to Track and How to Review It

A trading journal turns your trades into data. Here is what to record, which metrics matter and how to review your journal so it actually improves your trading.

What is a trading journal?

A trading journal is a record of every trade you take, including the setup, entry, exit, position size, result and your reasoning at the time. Its purpose is to turn your own trading history into data, so you can see which setups actually make money, which mistakes keep repeating and whether you are following your plan. Many consistent traders keep one, whether it is a simple spreadsheet or a dedicated journaling app.

Without a journal you rely on memory, and memory is biased. Traders tend to remember big wins and forget the slow leak of small, unplanned losses. A journal replaces impressions with numbers.

Why keeping a trading journal matters

A journal does three jobs at once:

  • Measures your edge. Win rate, average win, average loss and expectancy tell you whether your strategy has a positive expected value over a meaningful sample.
  • Exposes behaviour. Notes on emotions, rule breaks and timing reveal patterns such as revenge trading after a loss or oversizing after a winning streak.
  • Feeds your plan. Regular reviews give you evidence for changing the rules in your trading plan instead of changing them on a whim.

It also pairs naturally with testing. A backtest tells you how a strategy behaved on past data, while your journal tells you how you behave when real money is on the line. Our guide on how to backtest a trading strategy covers the first half.

What to record for every trade

Keep the fields consistent so your data can be sorted and compared later. A practical minimum:

FieldExampleWhy it matters
Date and timeTue 09:42Shows which sessions and days suit you
Market and directionEUR/USD longSeparates results by instrument
Setup or strategyBreakout retestLets you compare setups head to head
Entry, stop, target1.0850 / 1.0830 / 1.0890Defines planned risk and reward
Position size0.5 lotsChecks that sizing is consistent
Exit and result1.0890, +$200Raw outcome in money
R multiple+2ROutcome relative to planned risk
Rule followed?Yes / NoSeparates strategy problems from discipline problems
Emotion and notesHesitated, entered lateContext for later review
ScreenshotChart at entry and exitLets you review the setup visually

In the example row, a 0.5 lot EUR/USD position is worth $5 per pip, so a 20 pip stop risks $100 and the 40 pip target pays $200, which is +2R.

The R multiple is the most useful single number in a journal. It expresses each result as a multiple of the amount you risked, so trades of different sizes become comparable. If you risked $100 and made $200, that is +2R. If you lost the full $100, that is -1R. A position size calculator helps you fix the risk amount before entry, which makes the R calculation simple.

Key metrics to calculate

Once you have 30 or more trades, start calculating a few summary statistics:

  • Win rate: winning trades divided by total trades.
  • Average win and average loss: in money and in R.
  • Expectancy: net profit divided by the number of trades, or in R terms, (win rate x average win in R) minus (loss rate x average loss in R).
  • Profit factor: gross profit divided by gross loss. Above 1.0 means the sample was profitable.
  • Maximum drawdown: the largest peak-to-trough fall in your equity. The drawdown calculator shows how much gain you need to recover from a given loss.

Worked example

Suppose your journal shows 40 trades, each risking $75 (1R). There were 16 winners averaging +$150 and 24 losers averaging -$75.

  • Win rate: 16 / 40 = 40%.
  • Gross profit: 16 x $150 = $2,400. Gross loss: 24 x $75 = $1,800.
  • Net profit: $2,400 - $1,800 = $600.
  • Expectancy: $600 / 40 = $15 per trade.
  • In R terms: the average win is $150 / $75 = 2R, so expectancy is (0.40 x 2) - (0.60 x 1) = 0.8 - 0.6 = 0.2R, and 0.2 x $75 = $15. The two methods agree.
  • Profit factor: $2,400 / $1,800 = 1.33.

A 40% win rate can feel like failure in the moment, but the journal shows the sample was positive because winners were twice the size of losers. Now filter the same data by the "rule followed" column. If the trades where you broke a rule account for most of the losses, the fix is discipline, not a new strategy. Our trading psychology guide covers the common causes.

How to review your journal

  1. Daily: complete every entry the same day, while the reasoning is fresh, and add screenshots.
  2. Weekly: look at rule breaks, your best and worst trades, and any repeated emotional notes.
  3. Monthly: recalculate the key metrics by setup, market and time of day. Reduce or drop what is not working, but only after a reasonable sample.

Avoid changing rules after a handful of trades. Small samples are noisy, and a setup with a genuine edge can still lose five or six times in a row.

Journal tools: spreadsheet or dedicated app

A spreadsheet is free, fully customisable and teaches you exactly how each metric is calculated. The downside is manual entry, which many traders eventually stop doing. Dedicated journaling apps can often import trades from a broker or platform, calculate statistics automatically and let you tag trades by setup, which saves time and reduces data entry errors. Before choosing one, check which brokers and platforms it supports, how your data is stored and whether the cost makes sense for how often you trade.

Partner: Clarity Tracking is one option among trade journal and analytics tools if you prefer not to build your own spreadsheet. WizardTrader may earn a commission if you sign up; see our advertiser disclosure for how our partnerships work. Compare it with other journals and a plain spreadsheet before deciding.

Whichever tool you pick, the habit matters more than the software. A simple journal you update every day beats an advanced one you abandon after two weeks.

Common journaling mistakes

  • Logging only losing trades, or only winners, which skews every statistic.
  • Skipping the reason for entry, so you cannot tell good losses from bad ones.
  • Recording results in money only, which hides the effect of changing position size.
  • Never reviewing the data, which turns the journal into a diary rather than a tool.
  • Leaving out risk management fields such as the planned stop and the actual amount at risk.

Trading involves substantial risk of loss and is not suitable for every investor. A trading journal helps you understand your results but does not guarantee profits. Read our full risk disclaimer before trading.

Frequently asked questions

What should I include in a trading journal?

Record the date, market, direction, setup, entry, stop, target, position size, exit, result in money and in R, whether you followed your rules, and short notes on your reasoning and emotions. Screenshots of the chart at entry and exit are also useful.

Is a spreadsheet good enough for a trading journal?

Yes. A spreadsheet can track every field and calculate win rate, expectancy and profit factor. Dedicated journal apps mainly save time by importing trades and calculating statistics automatically.

How many trades do I need before reviewing my journal?

You can review behaviour weekly, but judge a strategy's statistics only after a reasonable sample, ideally 30 or more trades per setup. Small samples are heavily influenced by luck.

What is expectancy in a trading journal?

Expectancy is the average amount you make or lose per trade. Calculate it as net profit divided by the number of trades, or as win rate times average win in R minus loss rate times average loss in R.

What is an R multiple?

An R multiple expresses a trade result as a multiple of the amount you risked. Risking $100 and making $200 is +2R, and losing the full $100 is -1R.