What Should a Trading Journal Include? 7 Fields
Most journals die from tracking too much, not too little. The seven fields that actually change behavior, and the ones you can safely skip.
Most trading journals are abandoned within a month, and it is almost never because the trader was lazy. It is because the journal asked for too much. Twenty fields per trade, screenshots, a paragraph of feelings: that is a second job, and it loses to a losing streak every time.
A journal survives when it captures the minimum that changes behavior. After years of iterating on my own, and eventually building a journal for a living, here is that minimum.
The seven fields
1. The setup name. Which play from your playbook was this? If a trade does not map to any named setup, that is the most important data point in the journal: unnamed trades are where most accounts leak. Over time this field tells you your win rate and expectancy per setup, which is the information that decides what you should trade more of and what you should delete.
2. Entry, exit, and size. The mechanical skeleton: prices, times, and how big. Nobody should type these in 2026. Auto-import from your broker makes this layer free, and complete in a way hand-logging never is. Hand-logged fills have a documented tendency to forget the ugliest trades.
3. The reason, in one sentence. Before or immediately after entry: why this trade? One sentence forces the discipline. If the true sentence is “it was moving,” you have just journaled the real problem.
4. Your state. One tag is enough: calm, anxious, frustrated, bored, euphoric. State tags feel pointless for a week and become the most valuable column in the journal by month two, when you can see that your frustrated trades lose at triple the rate of your calm ones. If you wear a watch, heart rate can back this field with data instead of memory.
5. Rule compliance. Did this trade follow your rules, yes or no, and which rule if not. This is the field that connects the journal to discipline. In VEXA the Rules Tracker grades this automatically from the fills, which removes the temptation to grade on a curve.
6. The outcome in R. Record the result as a multiple of what you risked, not just dollars. Dollar P&L makes big reckless wins look like skill; R makes them look like what they are. A plus 0.5R win on triple size is not a good trade, and only the R column says so.
7. One lesson, sometimes. Not every trade teaches. When one does, a single sentence is enough, and it should be about process, not prediction: “waited for the second test and the entry was clean” ages better than “NVDA was strong.”
What to leave out
Long narratives (they become write-only), redundant indicators, and anything you will not look at again. The test for every field is the same: will this change a decision at review time? If not, cut it.
The part that actually pays: the review
Dr. Brett Steenbarger’s The Daily Trading Coach is built around a demanding idea: you are your own coach, and a coach does not just collect film, he watches it. The journal entry is the film. The review is the coaching.
Daily, five minutes: what did the fills say versus what the plan said. Weekly, thirty minutes: patterns across sessions. The weekly one is where the seven fields compound, because that is where “one bad trade” reveals itself as “the same bad trade, eleven times, always after a loss, always oversized.”
This is also the real pitch for journal software over paper: not that typing is easier, but that pattern-finding across a hundred trades is a query, not an archaeology project. VEXA’s AI trading journal auto-imports the mechanical fields through 750+ broker routes, keeps the human fields to the seven above, and then does the pattern-finding for you across every period. But whatever tool you use, paper included: seven fields, reviewed weekly, beats twenty fields abandoned in March.
Frequently asked questions
What should I write in my trading journal?
Seven things per trade or session: the setup name, entry and exit with sizing, the reason you took it in one sentence, your emotional state, whether you followed your rules, the outcome in R rather than dollars, and one lesson if there is a real one. Everything else is optional.
Should I journal every trade?
Every trade should be captured, but not every trade needs prose. Let the data fields be automatic for all trades and reserve written reflection for trades that surprised you, broke a rule, or taught something. Auto-import makes the capture part free.
How often should I review my trading journal?
A short daily review of the session while it is fresh, and a longer weekly review looking for patterns across days. The weekly review is where journals actually pay: single days are noise, but ten sessions of the same mistake is a signal you can trade against.
Is a trading journal really worth it?
A journal you review is the highest ROI habit in trading, because it is the only way to find leaks that repeat across trades. A journal you fill in but never review is a diary. The review is the product; the writing is just the input.
