Trading Journal Template: How to Keep a Trading Journal
Last updated June 7, 2026

A trading journal is a structured log of every trade you take, recording the setup, your entry and exit, the size, the result, and your emotional state. Kept consistently, it turns scattered trades into reviewable data, exposes recurring mistakes, and helps you separate a genuine edge from luck. It is the single highest-leverage habit a developing trader can build.
Key takeaway
What is a trading journal and why does it matter?
A trading journal is a record of each trade that captures both the hard data (date, instrument, price, size, profit or loss) and the soft data (your reasoning, confidence, and emotions). It matters because memory is unreliable and self-serving. Without a log, you remember your winners fondly and quietly forget your losers, which is exactly the wrong bias for improvement.
This blind spot is documented in behavioral finance. Terrance Odean's 1998 study of 10,000 brokerage accounts found investors were 1.5 to 2 times more likely to sell winning positions than losing ones, the pattern known as the disposition effect. A journal makes that tendency visible in your own trading, so you can correct it rather than repeat it. Pairing the journal with sound trading risk management is how raw data becomes better decisions.
What should you record in a trading journal?
Record three layers for every trade: the setup before entry, the execution, and the review after exit. The pre-trade layer captures your plan and reasoning. The execution layer captures what actually filled. The post-trade layer captures the result and an honest note on what you did well or poorly. Missing any layer leaves a gap in the lesson.
Here is a copyable column template you can paste straight into a spreadsheet:
| Column | What to log | Example |
|---|---|---|
| Date / time | When you entered | 2026-06-18 09:42 |
| Instrument | Ticker or pair | AAPL |
| Direction | Long or short scenario | Long |
| Setup / strategy | The named pattern or rule | Breakout retest |
| Entry price | Actual fill | 211.40 |
| Stop price | Pre-defined invalidation | 208.90 |
| Target price | Planned exit zone | 218.00 |
| Position size | Shares / lots / units | 50 |
| Risk ($ and %) | Dollars and % of account risked | $125 / 1.0% |
| Exit price | Where you actually closed | 216.30 |
| Result ($) | Net profit or loss | +$245 |
| Result (R) | Result divided by initial risk | +1.96R |
| Reason for entry | Why this setup, now | Held above prior resistance on volume |
| Emotion | Calm, FOMO, revenge, hesitant | Calm |
| Mistakes / notes | One honest sentence | Moved stop too early |
| Screenshot | Link to chart image | chart-0618.png |
The two columns beginners skip most often are Emotion and Mistakes / notes, and they are precisely the ones that reveal whether a loss came from a bad plan or bad discipline. Logging results in R-multiples (result divided by the risk you took) makes trades comparable across different position sizes, which connects directly to your win rate vs risk reward math.
How do you keep a trading journal step by step?
Keep a journal in three timed steps tied to the trade lifecycle: write the plan before you enter, record the fill when you act, and complete the review after you exit. Doing the pre-trade note first is what stops a journal from becoming a rationalization log written only after you already know the outcome.
- Before entry: write the setup, entry, stop, target, size, and the one-line reason. If you cannot articulate the reason, that itself is a signal not to take the trade.
- At execution: log the actual fill prices and size, even if they differ from the plan. Slippage and chasing are patterns worth tracking.
- After exit: record the result in dollars and R, then write one honest sentence about what you did well or wrong. Add a chart screenshot so the context survives.
- Weekly review: group trades by setup and tally win rate, average win, and average loss per group.
How often should you review your trading journal?
Review on two cadences: a quick same-day note while the trade is fresh, and a structured weekly or monthly review where you analyze trades in aggregate. The daily note captures emotion and context that fade within hours. The periodic review is where patterns across dozens of trades become visible and statistically meaningful.
In the weekly review, sort your trades by setup and ask plain questions. Which setup has the best expectancy? Which one bleeds money? Do your losing trades cluster around a particular emotion, time of day, or instrument? The chart below shows the kind of pattern a few weeks of honest logging tends to surface.
How does journaling improve trading psychology?
Journaling improves psychology by converting vague feelings into reviewable evidence, which shrinks the grip of fear and greed. When you can see in writing that your revenge trades lose money 80% of the time, the urge to take the next one weakens. The journal externalizes the lesson so you are not relying on willpower alone in the heat of the moment.
This links directly to the asymmetry described by prospect theory, the Kahneman and Tversky framework where losses feel roughly twice as painful as equivalent gains feel good. That pain drives traders to hold losers and cut winners. Seeing the cost of that behavior logged in black and white is one of the few reliable counterweights, which is why journaling is a cornerstone of trading psychology basics.
What are common trading journal mistakes?
The most common mistakes are logging only winners, skipping the emotional notes, recording trades after the fact, and never reviewing what you wrote. Each one quietly defeats the purpose. A journal that records only good trades is a highlight reel; a journal you never reread is just data entry.
- Cherry-picking entries. Log every trade, especially the embarrassing ones. The losers carry the lessons.
- Numbers only. Without the reason and emotion columns, you cannot tell a bad plan from poor discipline.
- No review ritual. Data with no review changes nothing. Block a recurring time.
- Over-engineering. A perfect 40-column template you abandon in a week beats nothing, but a simple one you keep beats both.
Putting your trading journal to work
A journal is only as valuable as the reviews you run on it. The template above gives you the raw material, but the edge comes from the weekly habit of grouping trades, counting patterns, and acting on what you find. Once your journal exposes which setups work for you, formalize them in a written rulebook using our trading plan template so the lessons become rules rather than good intentions. If you would rather not maintain the columns by hand, Lynx AI can review a chart screenshot and help you frame the setup and risk before you ever open a position.
Frequently asked questions
- What should a trading journal include?
- At minimum, log the date, instrument, direction, entry and exit prices, position size, stop and target, the reason you took the setup, the outcome in money and R-multiple, and your emotional state. The qualitative notes are where most of the learning lives.
- How do I start a trading journal as a beginner?
- Copy the template below into a spreadsheet, then fill one row per trade as you close it. Record the plan before you enter and the result after you exit. Review weekly. Consistency matters far more than the tool you choose.
- Is a spreadsheet or an app better for a trading journal?
- A spreadsheet is free, flexible, and forces you to engage with each trade. Dedicated apps automate imports and analytics. Beginners usually learn more from a manual spreadsheet first, then graduate to an app once the habit is set.
- How often should I review my trading journal?
- Do a quick same-day note after each trade while the context is fresh, then a structured weekly or monthly review where you group trades by setup and look for patterns in your win rate, average win, and average loss.
- What is an R-multiple in a trading journal?
- An R-multiple expresses a result as a multiple of the risk you took. If you risked $100 (1R) and made $250, that is +2.5R. Logging results in R makes trades comparable regardless of position size.
Put this into practice. Upload a chart screenshot and Lynx AI reads the structure, levels, and a long or short bias, with what would invalidate it.
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Educational only. Not financial advice. NFA. Bullynx is not a registered investment adviser or broker-dealer. Trading and investing involve significant risk of loss. Read the full risk disclosure.