How to Journal Trades: the 10-Minute Daily System Funded Traders Use
Ask ten profitable traders what changed their results and at least seven will point to the same unglamorous habit: they started writing their trades down. Not screenshots in a folder. Not a mental note. A structured record they could interrogate later.
This guide is the system. It takes about ten minutes a day, and by trade 50 it will tell you things about your own trading that no course, signal group or indicator ever will.
What a trade journal actually does
A journal is not a diary. Its job is to turn your trading from a stream of one-off events into a dataset. Once your trades are a dataset, questions that used to be arguments with yourself become lookups:
- Which setup actually makes me money, and which one just feels good?
- What happens to my win rate after two losses in a row?
- Do my Friday trades perform like my Tuesday trades?
- Am I cutting winners early and letting losers breathe?
Every trader has strong opinions about these questions. Almost nobody has data. The gap between the opinion and the data is usually where the account bleeds.
The 7 fields that matter
Log these on every trade. Everything else is optional decoration.
- Symbol and direction. Obvious, but it anchors everything else.
- Entry, stop, and target. Not just entry. The stop is what defines your risk unit, and without it nothing else can be computed.
- Position size. Lots, contracts or shares. Required for real P&L analysis.
- The setup name. Pick from a short fixed list you define (breakout, pullback, reversal, news). Free-text setups turn your data into mush. A fixed list turns it into categories you can rank.
- The R-multiple result. How many risk units you made or lost. A trade that risked $200 and made $400 is +2R. This one number makes every trade comparable regardless of size. If you are new to this, read our R-multiple guide.
- Your emotional state at entry. One tag: calm, FOMO, revenge, hesitant, overconfident. It feels soft. It is not. For most losing traders the emotion column explains more variance than the setup column.
- One sentence: why this trade, right now? If you cannot write the sentence, you did not have a reason. That discovery alone pays for the habit.
Fields to skip (they cost time and teach nothing)
Most journals die of bloat, not neglect. Every extra field is another reason to skip the entry on a busy day, and a skipped entry is worth less than a short one. Before you add a column, ask one question: will I ever filter or sort by this? If the answer is no, leave it out. These are the usual offenders:
- Every indicator reading at entry. RSI at 62, MACD crossed, three moving average values. If an indicator is part of your setup, the setup name already captures it. Logging the raw numbers produces columns nobody ever analyses.
- A gallery of screenshots on every timeframe. One chart at entry, marked with your stop and target, is enough to replay the decision. Five timeframes per trade turns a two-minute log into a fifteen-minute chore, and that is how streaks break.
- Long essays about the trade. The one-sentence reason is the field that matters. Paragraphs written after the close drift into storytelling and self-justification, which is the opposite of what a record is for.
- Pasted news headlines and market commentary. If news drove the trade, tag the setup as news. The headline itself adds nothing you can rank, and you can always look it up later.
- Dollar P&L as your main result. Keep it if your platform fills it in, but do not review by it. Dollar results change with position size, so they hide whether your decisions improved. Review in R.
A lean journal you fill in every single trade beats a detailed one you fill in twice a week. Add a field only after a review raises a question the current fields cannot answer.
An example journal entry, all 7 fields
Here is what one finished entry looks like. This is a made-up example with round numbers for illustration only. It is not a trade call and the levels are not live.
- Symbol and direction: EUR/USD, long.
- Entry, stop, and target: entry 1.1000, stop 1.0980 (20 pips of risk), target 1.1040 (40 pips of reward).
- Position size: 1 standard lot, so roughly $10 a pip and $200 at risk. That $200 is 1R for this trade.
- Setup name: pullback.
- R-multiple result: price reached the target, so the trade closed at +$400 on $200 of risk, which is +2R.
- Emotional state at entry: calm.
- Why this trade, right now: "Price pulled back to the level that broke yesterday and held it on the first retest, so I took the long with the stop under the retest low."
At close, one more line: followed plan? Yes. That is the whole entry. It takes about two minutes, and every field in it can be sorted, grouped or averaged later. Notice what is not there: no indicator dump, no essay, no screenshot gallery. When you review fifty of these, the pullback trades tagged calm either earn their place or they do not, and you will know which in a single sort.
The 10-minute daily routine
Two minutes at entry. Log the trade the moment you place it: fields 1 through 4, plus the emotion tag. Logging at entry, not after the close, is what keeps the record honest. A journal filled in after the fact quietly edits history.
Three minutes at close. Record the exit, the R result, and whether you followed your plan. Yes or no, no essays.
Five minutes at end of day. Read today's entries once. Do not analyse, just read. The patterns start assembling themselves in the background long before you run a single report.
What to review weekly
Once a week, usually the weekend, run three checks:
Setup ranking. Sort your setups by total R. Most traders discover that one or two setups carry the entire account while another one quietly drains it. Cutting the drain is the single fastest improvement available to you, and it costs nothing.
Session and day breakdown. Group results by day of week and session. If your London trades average +0.4R and your late New York trades average minus 0.7R, you do not have a strategy problem. You have a schedule problem, and it has an easy fix.
Emotion cross-check. Compare the R average of trades tagged calm against trades tagged FOMO or revenge. The difference is usually brutal, and seeing your own number, not a generic warning, is what actually changes behaviour.
What to review monthly
The weekly review catches leaks. The monthly review decides what you change. A week is too few trades to judge a setup fairly, but a month usually gives you enough entries to see which patterns hold up and which were noise. Set aside about thirty minutes on the first weekend of the month and work through three things.
1. Rank every setup by expectancy in R
Total R tells you which setup earned the most. Expectancy tells you which setup is worth taking again. Expectancy is simply your average R per trade for that setup:
Expectancy = (win rate × average winning R) minus (loss rate × average losing R)
A setup that wins 40% of the time with an average winner of 2.5R and an average loser of 1R has an expectancy of (0.4 × 2.5) minus (0.6 × 1) = +0.4R per trade. A setup that wins 60% of the time but averages 0.8R winners against 1.5R losers comes out at (0.6 × 0.8) minus (0.4 × 1.5) = minus 0.12R per trade. The second one feels better to trade because it wins more often. It is the one costing you money.
Put the setups in a list from highest expectancy to lowest, with the number of trades next to each. Be careful with small samples: a setup with six trades and a great number has not proven anything yet. Keep taking it, keep logging it, and judge it again next month.
2. Find your costliest habit
Filter the month for every trade where you answered no to "followed plan?" and add up the R. Then do the same for each emotion tag. One of these totals will stand out: the moved stop, the revenge re-entry, the trade taken outside your session, the FOMO chase. That number is the price of the habit for one month, measured in your own risk units. Name it in one line at the top of next month's page, so it is the first thing you see every time you open the journal.
3. Decide on rule changes, one at a time
Now, and only now, change something. Retire a setup with negative expectancy over a decent sample, add a session cut-off, or set a rule like "no new trade after two losses in a day". Make one change per month and write it down with the date. If you change three things at once and results improve, you will not know which change did the work. One change a month turns the journal into a controlled experiment instead of a mood log.
Daily logging, a weekly scan and a monthly decision: that is the whole cycle. The daily part keeps the data honest, the weekly part catches problems early, and the monthly part is where the account actually improves.
Spreadsheet or app?
You can absolutely run this in a spreadsheet, and we wrote an honest comparison of both approaches in journal vs spreadsheet. The spreadsheet costs you setup time, formula maintenance, and the discipline to keep opening it. A purpose-built journal automates the R math, the setup rankings, the session breakdowns and the emotion analysis, so your ten minutes go into the trades, not the tooling.
Spreadsheet vs Notion vs a journal app
Notion is the third option people ask about, so here are all three side by side. None of them is wrong. They suit different stages.
| Spreadsheet | Notion | Dedicated journal app | |
|---|---|---|---|
| Set-up time | An hour or two to build columns and formulas, then ongoing upkeep | Similar: build a database, properties and views yourself | Minutes: sign up and start logging |
| R and expectancy maths | Fully possible with formulas you write and maintain | R per trade works with formula properties; expectancy by setup takes extra work | Calculated for you on every trade |
| Prop-firm drawdown tracking | Possible, but daily and trailing rules get fiddly to model | Awkward: a running balance over time is not what Notion is built for | Built in on journals made for prop traders |
| Broker import | Export a CSV from your platform and paste it in, mapping columns by hand | CSV import into a database, no live connection | Usually built in; check that your broker is supported |
| Cost | Free with Google Sheets | Free plan available for personal use | Usually a monthly subscription; some have a free tier |
Where a spreadsheet is fine: you are logging your first 50 trades, you trade one account, and you enjoy building the formulas. The habit matters far more than the tool at that stage, and a spreadsheet costs nothing.
Where Notion is fine: you care most about the written side, the one-sentence reasons, the marked-up chart and your monthly notes, and you are comfortable doing the maths elsewhere. Notion is a good notebook. It is a weaker calculator.
Where an app earns its cost: you trade a prop-firm account where one bad day can breach a drawdown rule, you trade often enough that manual entry becomes the reason you skip logging, or your spreadsheet has turned into a second job. The RB Trading journal is built for that case: R on every trade, prop-firm drawdown tracking and broker import, with a free plan for your first 50 trades and Pro at $29.99/mo after that.
Whichever you choose, the tool matters far less than the streak. Fifty logged trades is where the signal starts. A hundred is where it becomes undeniable.
The one rule that makes it stick
Log the losers with the same care as the winners, especially the embarrassing ones. The trade you least want to write down is nearly always the one carrying the lesson. Traders who only journal their good days are building a highlight reel, not a dataset, and highlight reels never got anyone funded.
FAQ
How do you journal trades? Log seven fields on every trade: symbol and direction, entry, stop and target, position size, setup name, R-multiple result, emotional state at entry, and one sentence on why you took it. Log at entry, record the result at close, read the day's entries at the end of the day, then review weekly and monthly.
What should you not write in a trading journal? Skip every indicator reading, screenshot galleries across timeframes, long essays, pasted news headlines, and dollar P&L as your main result. If you will never sort or filter by a field, it only makes the entry slower.
How long does journaling trades take? About ten minutes a day: two minutes at entry, three minutes at close and five minutes reading the day's entries. Add a short weekly review and about thirty minutes once a month.
How many trades do you need before a journal is useful? Fifty logged trades is where the signal starts. A hundred is where it becomes undeniable. Be careful judging any single setup on only a handful of trades.
What should you review in a trading journal each month? Rank every setup by expectancy in R, add up the R lost to your costliest habit, and make one rule change, written down with the date, so you can tell whether it worked.
Should you journal losing trades? Yes, with the same care as the winners. The trade you least want to write down is nearly always the one carrying the lesson, and a journal of only good days is a highlight reel, not a dataset.
Is a spreadsheet or Notion good enough for a trading journal? Yes for many traders. A spreadsheet is fine for your first 50 trades on one account, and Notion is a good notebook for your reasons and notes. A dedicated app earns its cost when you need prop-firm drawdown tracking, broker import, or R and expectancy maths without maintaining formulas.
Is the RB Trading journal free? The free plan covers your first 50 trades. After that, Pro is $29.99/mo. The journal calculates R on every trade and includes prop-firm drawdown tracking and broker import.
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