A trading journal template is a pre-built spreadsheet with the columns every trader should log: entry, exit, size, side, fees, P&L, R-multiple, setup, emotion, and a one-line lesson. Below you can copy a free trading journal template in both Excel and Google Sheets, with auto-calculated metrics ready to go. No email signup. No watermark. Just the file.
I built this template after burning through three messy Notion pages and one bloated Excel monster. The version below keeps only the fields that change behavior. Everything else is noise.
Copy the trading journal template (Excel + Google Sheets)
Two formats, same logic. Pick one or use both.
Google Sheets version: open a blank Google Sheet, paste the column headers from the next section, then drop in the formulas listed under "Auto-calculated metrics." Save as a template in your Drive. Done in under five minutes.
Excel version: open Excel, paste the same headers in row 1, format columns B and C as date/time, columns G through K as numbers with two decimals, and column L as percentage. Save as .xlsx and pin it to your taskbar.
Both files use identical formulas, so you can switch between them without rebuilding anything.
What columns belong in a trading journal template
The minimum viable journal has 14 columns. Anything less and you cannot review properly. Anything more and you will stop logging within two weeks.
| # | Column | Why it matters |
|---|---|---|
| A | Trade ID | Unique reference for review notes |
| B | Entry date/time | Required for time-of-day analysis |
| C | Exit date/time | Trade duration and session tagging |
| D | Symbol | BTCUSDT, ETH-PERP, AAPL |
| E | Side | Long or Short |
| F | Size | Contracts, shares, or notional |
| G | Entry price | |
| H | Exit price | |
| I | Stop loss | Required to calculate planned R |
| J | Fees | Crypto futures fees compound fast |
| K | Net P&L | Auto-calculated |
| L | R-multiple | Auto-calculated |
| M | Setup tag | A1, breakout, mean reversion, etc. |
| N | Emotion + lesson | One sentence, max |
If you trade crypto perpetuals, add a column for funding paid between entry and exit. On a position held 18 hours through three funding windows, this can flip a green trade red. Most stock-first journal templates ignore this entirely.
Auto-calculated metrics: the only formulas you need
Four formulas turn a static log into a feedback loop.
Net P&L (column K), for a long trade:
=((H2-G2)*F2)-J2
For a short trade, swap the order: =((G2-H2)*F2)-J2. Easier: use an IF on the Side column so one formula handles both.
R-multiple (column L):
=K2/((G2-I2)*F2)
R-multiple is the result of a trade expressed in units of risk. A +2R trade earned twice what you risked. A -1R trade hit your stop exactly. Tracking R instead of dollars makes results comparable across position sizes.
Win rate (summary cell):
=COUNTIF(K2:K1000,">0")/COUNTA(K2:K1000)
Profit factor (summary cell):
=SUMIF(K2:K1000,">0")/ABS(SUMIF(K2:K1000,"<0"))
A solid profit factor for swing trading sits above 1.5. Professional discretionary traders aim for 2.0 or higher. Below 1.2 and the edge is too thin to survive variance.
How to create a trading journal in Excel
Five steps, about ten minutes total.
- Open Excel and paste the 14 column headers into row 1.
- Select row 1 and apply bold + a fill color so it stays visible when you scroll.
- Click View, then Freeze Panes, then Freeze Top Row.
- In K2, paste the Net P&L formula. In L2, paste the R-multiple formula. Drag both down 500 rows.
- Build a small summary block in cells P1 to Q6 with win rate, profit factor, average R, biggest loss, biggest win, and total trades.
That is the full Excel build. Save it as a template (.xltx) so every new month starts clean.
How to create a trading journal in Google Sheets
The Google Sheets version has one advantage: it syncs across devices and lets you log a trade from your phone the moment you exit. Same five steps as Excel, with two additions.
First, use ARRAYFORMULA to apply the P&L and R-multiple formulas to the entire column without dragging:
=ARRAYFORMULA(IF(F2:F="",,((H2:H-G2:G)*F2:F)-J2:J))
Second, set conditional formatting on column K so winners turn green and losers red. The visual feedback matters more than people admit. Scrolling through a month of red rows changes how you size your next trade.
The 5-minute weekly review framework
A template without a review process is just data entry. Every Sunday, spend five minutes on these four questions, answered against the journal.
- What was my best setup this week, by R? Sort column L descending, look at the top three trades, check column M for the setup tag.
- What was my worst setup, by frequency of loss? Filter for negative K, group by setup tag, count rows.
- Did I break any rules? Read column N for the week. Three or more entries mentioning "FOMO," "revenge," or "too big" is a red flag.
- What is the one thing I will do differently next week? Write it in cell P10. Read it before your first trade Monday.
Five minutes. Forty trades reviewed in a glance. The traders who stay profitable are the ones who actually do this.
Where the spreadsheet starts to break
A template is the right starting point. It is not the right ending point. Three things kill a spreadsheet journal once volume picks up.
Manual entry decay. After 30 trades a week across two exchanges, you stop logging. Every serious trader I know who relies on Sheets has at least one missing week. The data is only useful if it is complete.
No pattern detection. A spreadsheet shows you what happened. It does not tell you that 73% of your losing trades happened between 2pm and 4pm local, or that your win rate drops 18 points after a losing trade. You have to build pivot tables for every hypothesis.
No psychology layer. Column N catches one-line emotions. It does not connect those emotions to actual behavior. If you revenge-trade after a loss, the spreadsheet will not flag it. You have to notice it yourself, which is the exact thing tilt prevents you from doing.
This is the moment most traders look for an AI trading journal that picks up where the spreadsheet leaves off.
How TraderNest extends the template
The TraderNest journal solves the three breakage points directly.
Trades auto-sync via API from Bybit, Binance, OKX, Bitget, MEXC, KuCoin, Gate.io, Kraken, Deribit, and Hyperliquid. Stocks come in through Alpaca. Anything else imports via CSV. You stop typing trades by hand, which means the data stays complete even at 100 trades a week.
The analytics layer covers what pivot tables would otherwise demand: P&L by hour, R-multiple distribution by setup, win rate by day of week, fee impact, and a real equity curve. Five dedicated analysis pages handle time, risk, strategy, R/R, and take profit behavior.
The psychology layer is where it gets interesting. AI Hawk reads your trade data and detects 15 behavioral patterns automatically: revenge trading, tilt escalation, FOMO entries, overtrading, premature exits, post-win recklessness, inconsistent risk sizing, and trading outside your optimal hours, among others. It coaches you on each pattern with examples from your own trades. No spreadsheet does this.
You can keep the template as a backup or for trades on platforms that do not connect. Most users move fully to TraderNest within the first month because the manual entry overhead disappears.
What a trading journal template should not do
A few features creep into popular templates that I would skip.
- Mood sliders from 1 to 10. Too vague to be actionable. A one-line lesson beats a number.
- Twenty pre-built setup categories. You will use four. Start with a blank tag column and add categories as patterns emerge.
- Daily P&L targets in the template. Targets belong in your trading plan, not the journal. The journal records what happened.
- Color-coded screenshots embedded per trade. Use a folder with the trade ID as filename. Embedded images make the file slow and break on mobile.
Keep the template lean. Add complexity only when a question forces it.
Ready to log your first trade
Copy the headers, paste the formulas, and journal your next trade the moment you close it. Do not wait until end of day. The reasoning evaporates within an hour.
When the spreadsheet starts costing you more time than it saves, start a free TraderNest account and let the trades log themselves while AI Hawk watches the patterns you cannot see.
