What makes a day trading journal different
The basics of a trading journal are the same for every style (see how to keep a trading journal). Intraday trading changes the emphasis:
- Volume. Dozens of trades a week means patterns become measurable quickly, but only if every trade is logged.
- Time matters. Results often differ by time of day, so entry and exit timestamps are core fields, not extras.
- Costs add up. Small targets mean fees and spreads take a larger share of each trade.
- Behaviour is fast. Revenge trades and overtrading happen within minutes, so the journal has to capture sequence, not just outcomes.
The columns to log for every trade
| Field | Why it matters intraday |
|---|---|
| Date, entry time, exit time | Lets you group results by time of day and hold time |
| Ticker, long/short | Basic identification |
| Setup tag | Separates what works from what does not |
| Entry, planned stop, exit | Needed to compute R |
| Shares | Checks that size matched your risk |
| Fees | Shows the true net result |
| Net P&L and R | The outcome, in money and in units of risk |
| Trade number of the day | Reveals whether later trades perform worse |
| One-line note | Followed plan? Emotional state? |
The trading journal spreadsheet lays out these columns with formulas.
A sample day, measured in R
Here is one illustrative session of five long trades. R is computed as (exit − entry) ÷ (entry − stop).
| # | Entry | Stop | Exit | R |
|---|---|---|---|---|
| 1 | $10.00 | $9.80 | $10.50 | +2.5R |
| 2 | $25.40 | $25.10 | $25.10 | −1.0R |
| 3 | $41.20 | $40.90 | $41.65 | +1.5R |
| 4 | $8.75 | $8.60 | $8.68 | −0.47R |
| 5 | $102.00 | $101.20 | $103.60 | +2.0R |
Day total: 2.5 − 1.0 + 1.5 − 0.47 + 2.0 = +4.53R before fees. Measuring in R makes trades in a $10 stock and a $102 stock comparable, which dollar P&L does not. Trade 4 is a manual exit before the stop: logging that you cut it, and why, is what lets you check later whether early exits help or hurt.
Check any single row in the R-multiple calculator.
A useful habit is to record the planned stop at the moment of entry, before the trade moves. If you only write it down afterwards, it is easy to remember a stop that makes the result look better than it was.
Fees: the cost that hides in small trades
Log fees per trade, not as a monthly lump. Suppose your all-in cost (commission plus regulatory and exchange fees, where they apply) is $1.50 per round trip and you take 200 trades in a month: that is $300 of costs. If your average risk per trade is $50, that is 6R a month spent before any trade is won or lost. Fee structures differ widely by broker and country, so use your own statements. A strategy that is positive gross can be negative net, and only per-trade fees show you which.
Session statistics to review
Once you have a few weeks of trades, these cuts tend to be the most revealing for intraday traders:
- Results by time of day (for example by 30-minute bucket).
- Results by trade number of the day. If trades 6 and later are consistently negative, that is a measurable sign of overtrading.
- Results after a loss. Trades entered within minutes of a loss can show revenge trading.
- Expectancy and profit factor by setup, net of fees, using
expectancy = WR × avg win + (1 − WR) × avg lossandprofit factor = gross wins ÷ |gross losses|. - Hold time of winners vs losers. Holding losers longer than winners is a common pattern worth checking.
Keep sample size in mind. A setup with 12 trades can look excellent or terrible by chance.
Review these cuts weekly rather than after every session. Day-to-day results are noisy, and reacting to one bad afternoon by changing your rules makes the data harder to read. Note any rule change with its date, so later reviews can compare before and after instead of blending the two periods together.
Behaviour fields that pay off
Intraday mistakes are often behavioural rather than technical. A few yes/no fields, filled in honestly at the time, turn feelings into data you can count:
- Followed the plan? Entry, stop and size all as planned.
- Stop honoured? Did you exit at the stop, or move or ignore it?
- Chased? Entered after the move had already run past your planned entry.
- Early exit? Closed before stop or target without a rule telling you to.
- State: calm, rushed, frustrated, bored (pick one).
After a month, compare the average R of trades marked "followed the plan" with those that were not. The difference is often the clearest single number a day trader can get from a journal, and it points at behaviour you can change rather than at the market. The trading psychology guide covers this angle in more depth.
A daily review template you can copy
- Trades taken today: __ (planned maximum: __)
- Net P&L: $__ and total R: __, fees: $__
- Trades that followed the plan: __ of __
- Biggest loss in R, and was the stop honoured? __
- Any trade taken within 15 minutes of a loss? __
- One thing to repeat tomorrow: __
- One thing to stop doing: __
Five minutes at the close is enough. The value comes from doing it every day and reviewing the week on Friday (see how to review your trades).
Keeping up when you trade a lot
The hardest part of a day trading journal is volume: typing in 15 fills after the close is the step people drop first. A journal app that imports fills from your broker can fill the trade columns for you, leaving only the setup tag and note. TradeGreen does this read-only across 20+ brokers on iPhone and Android, and computes R, win rate, profit factor and expectancy per setup. If you prefer a spreadsheet, export fills from your broker daily rather than weekly.
If you are losing money and want to find out why, why am I losing money day trading walks through the checks. This guide is educational and does not recommend any trading strategy.