Trading Journals: The Data Points You Must Track

A trading journal is the difference between having an opinion about your trading and having evidence. Without one, memory edits the record: big wins are vivid, small repeated losses blur, and mistakes get explained away. With one, you can see which setups, times and behaviours actually cost or make money. Here are the data points worth tracking, how to review them and the mistakes that make journals useless.

Risk warning: leveraged products such as CFDs magnify losses as well as gains, and most retail CFD accounts lose money. This is general information only, not a recommendation to trade any product.

Why keep a trading journal at all?

Because the evidence on retail trading is sobering. ASIC found that 72% of retail CFD clients lost money in the period it reviewed (ASIC, 2019), and research on large groups of day traders finds that only a tiny fraction earn reliable profits after costs (Barber, Lee, Liu and Odean, 2014). If you trade at all, you need a way to tell whether you are in the small minority or the large majority, and that requires data rather than impressions.

A journal also counters known biases. Investors tend to sell winners too early and hold losers too long, the "disposition effect" (Shefrin and Statman, 1985), and overconfidence is linked to excessive trading and poorer returns (Barber and Odean, 2000). Writing down the plan before the trade and the result after it makes these patterns visible.

What data points should a trading journal track?

Plain-word definition: R is the amount you planned to risk on a trade. A trade that makes twice the planned risk is +2R; a trade stopped out as planned is −1R.

Which metrics matter most when you review?

• Expectancy: average result per trade in R, after costs. If it is negative over a decent sample, the approach is losing money.
• Win rate and average win vs average loss: together they explain expectancy. A low win rate can work with large wins; a high win rate fails if losses are much bigger than wins.
• Maximum drawdown: the largest fall from a peak. It tells you what you must be able to sit through.
• Rule breaks: how often you deviated from the plan, and what those trades cost.
• Costs as a share of gross profit: how much of your edge goes to spreads and fees.

How do you set up and use a trading journal, step by step?

1. Choose a simple format. A spreadsheet with the columns above is enough. Complexity is the enemy of consistency.
2. Fill in the plan before entering. Entry, stop, target, size and reason. If you cannot write it, do not take the trade.
3. Record the result immediately after exit, including fees and slippage.
4. Add one line on behaviour. Did you follow the plan? What did you feel?
5. Review weekly. Sort by setup, time of day and rule breaks. Look for the biggest leak, not every flaw.
6. Change one thing at a time, then track whether it helped over the next batch of trades.
7. Judge on a meaningful sample. A handful of trades says almost nothing; results over dozens or hundreds are more informative.

What does a weekly review look like in practice?

Suppose a week's journal shows 20 trades: 9 winners averaging +1.4R and 11 losers averaging −1.1R, with fees of 0.1R per trade. Expectancy before costs is (9 × 1.4 − 11 × 1.1) ÷ 20, or about +0.03R per trade; after fees it is about −0.08R. Sorting by behaviour then shows that four of the losers came after a moved stop and averaged −1.9R. Those four trades alone explain the negative week. The fix in that case is not a new indicator but honouring the stop, which the journal made visible. These numbers are illustrative, but the process, calculate expectancy after costs and then sort by behaviour and setup, is the core of every useful review.

Do you need special software?

No. Many traders use a spreadsheet; others use their platform's trade export plus a notes column. What matters is that every trade, including the bad ones, is recorded with its plan, cost and behaviour, and that someone, usually you, reads it every week.

What mistakes make a journal useless?

• Logging only wins or skipping bad days.
• Recording after the fact from memory, which rewrites the plan.
• Ignoring costs, which flatters results.
• Never reviewing: a journal nobody reads is just data entry.
• Tracking too much, so you stop doing it within a week.

What should you do with what the journal shows?

Sometimes the answer is to tighten risk: if losses cluster after rule breaks, the fix is behavioural, and our pieces on why traders move their stop-loss and position sizing with the 1% rule are relevant. Sometimes the honest answer is that the approach does not have an edge after costs, which is common. A journal that leads you to trade less, or to stop, has done its job just as well as one that confirms a working process. For handling the emotional side of a bad week, see Stoicism in trading.