Trading Journal
A trading journal records every trade so you can find what works and what keeps costing you. Learn what to log, a template and how to review it.
A trading journal is a record of every trade you take: what you did, why you did it, what happened and how you felt. It is the single most useful tool for getting better, because it turns vague impressions ("I think breakouts work for me") into evidence ("my breakout trades lose money unless volume is above average"). Without one, you repeat the same mistakes and cannot tell skill from luck.
What to record for every trade#
Some fields are facts, some are reasons and some are feelings. All three matter.
| Field | Example |
|---|---|
| Date and time | 2026-03-14, 10:42 |
| Market and direction | AAPL, long |
| Setup | Pullback to 20 day average in uptrend |
| Entry, stop, target | $182.10, $178.90, $190.10 |
| Position size and risk | 60 shares, $192 risk (0.96%) |
| Exit price and reason | $186.40, trailed stop hit |
| Result | +$258, +1.34R |
| Followed plan? | Yes |
| Emotions before and after | Calm before; wanted to exit early at +$100 |
| Screenshot | Chart at entry and at exit |
| Lesson | Held through the pullback by sticking to the trailing rule |
The R multiple is the result divided by the amount risked. A trade that risks $192 and makes $258 is +1.34R. Measuring in R lets you compare trades of different sizes and markets.
Why the "why" and "how I felt" matter#
Prices and results can be downloaded from your broker. What cannot be downloaded is your reasoning and state of mind. Patterns often hide there: losses that cluster after a big win, trades taken out of boredom, exits made because of fear rather than the plan. Read Mental State Tracking for a simple scoring method.
Measuring performance from your journal#
With enough trades logged, you can calculate the numbers that actually describe your trading:
- Win rate: winning trades divided by all trades.
- Average win and average loss, ideally in R.
- Expectancy: the average result per trade.
- Profit Factor: gross profits divided by gross losses.
- Largest losing streak and Maximum Drawdown.
Tools for keeping a journal#
- A spreadsheet is free, flexible and enough for most traders.
- A dedicated journal app can import trades from your broker and calculate statistics automatically.
- A notebook works for reasons and emotions, combined with broker statements for numbers.
The best tool is the one you will use after every trade. Consistency beats sophistication.
How to review your journal#
Logging is only half the job. Set a regular review:
- After each trade: fill in every field the same day, while you still remember why.
- Weekly: read every trade, mark rule breaks and note the most expensive mistake.
- Monthly: calculate your statistics by setup, market and time of day. Decide one change for next month.
The detailed method is in Post-Trade Analysis and Trading Routine and Reviews.
Common mistakes#
- Only logging winners, or skipping entries after bad days, which hides the most important information.
- Logging results but not reasons, so you cannot tell good decisions from lucky ones.
- Never reviewing, which turns the journal into a diary instead of a tool.
- Drawing conclusions from too few trades. Ten trades say little; fifty start to say something.
Frequently asked questions#
What is the best way to keep a trading journal?#
The simplest system you will use consistently, usually a spreadsheet with entry, exit, size, risk, result in R, setup, whether you followed your plan, emotions and a screenshot.
How many trades do I need before reviewing results?#
Review every week for mistakes, but wait for at least 30 to 50 trades of a setup before judging whether it works.
Should I journal paper trades too?#
Yes. Journaling paper trades builds the habit and gives you data to decide whether you are ready for live trading.
Next, learn how to review each trade properly in Post-Trade Analysis.
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Mentioned in
- How This School WorksStart Here
- What Is Trading?Start Here
- Common Beginner MistakesStart Here
- Beginner Learning PathStart Here
- Crypto and Prediction Markets Learning PathStart Here
- Paper TradingStart Here