The Trading Journal Template You'll Actually Use (Free Copy)

Every trading journal template you download has the same failure mode. Twenty-something columns, all of them empty, all of them waiting for you to type into them at 4pm after a session that already took everything you had. You keep it up for four days. I have killed three journals exactly that way. The version below survived because most of its columns fill themselves: you type a ticker, click four dropdowns, paste in the numbers that were already sitting on your order ticket, and the sheet works out the rest. All of it is below as copy-paste text. A header row that splits itself into 18 columns the moment you drop it into A1, the six formulas that fill the computed half, and the same structure translated for Notion.

Quick Answer

What Does a Trading Journal Actually Show You?

Things your broker statement structurally cannot. The statement is an accurate record of what happened to your money and it has no idea why. It knows you finished the month down $600. It does not know that every dollar of that came from one setup you keep taking because it worked spectacularly once in March.

That is the whole case for the columns. Each one exists so a question becomes answerable by sorting rather than by remembering. Tag every trade with a setup name and three months later you can sort by that column and find out that your bull flags are net positive and your reversal attempts are quietly funding them. Log a stop price and you can find out how often you actually respected it. Log the trades you skipped and you learn whether the ones you walk away from were genuinely worse than the ones you take.

The two columns that do the most work here are the setup tag and the R-multiple, because together they turn a pile of dollar amounts into a comparison. A $40 win on a small position and a $400 win on a large one look wildly different in a P&L column and can be the exact same trade in R terms. Which fields earn their place is its own argument, and I have made the longer version of it in the post on which journal metrics are worth tracking. This post is the implementation of that shortlist rather than a re-run of the debate.

Why Most Templates Die in Week Two

Friction, and it is almost never a discipline problem. A 20-column sheet filled in by hand after a losing session is a punishment, and you will skip one Tuesday, then the following Thursday, then the sheet is a museum. The number of columns is the wrong thing to cut, and cutting them is what most minimal templates get wrong: you end up with five columns that tell you nothing except that you lost money, which you already knew. Cut the number you have to type instead.

Run the count on the template below. Eighteen columns total. Six are formulas, so they are zero effort forever. Of the twelve that remain, four are dropdowns you click, four are numbers you already decided on before entry because they are your entry, stop, target, and size, one is the date, one is the ticker, and one is the exit price. That leaves exactly one field where you are composing a sentence from scratch, and that is the notes field. The deeper version of this argument, including how to keep a journal alive through a genuinely bad week, is in the piece on building a journaling habit that survives.

The Template: Every Column in the Sheet

Here is the full structure, and the quickest way to get it is to not type it. Select the line below, paste it into cell A1 of a blank Google Sheet or Excel workbook, and both apps split it on the tabs into 18 columns on their own. The letters in the table underneath match that order and every formula depends on it, so leave the columns where they land.

Date	Ticker	Direction	Setup	Grade	Taken	Entry	Stop	Target	Size	Risk $	Planned R:R	Exit	P&L $	P&L %	R-multiple	Win/Loss	Notes

If the whole line lands in one cell instead, your clipboard stripped the tabs on the way over. Data, then Split text to columns, fixes it in a click. Here is what each of those 18 columns holds and whether you ever type into it.

Two things about that ordering are deliberate. Risk and planned R:R sit at K and L, before the exit column, because both are computable the moment you have an entry, a stop, and a size. You know your reward-to-risk before the trade runs, not after, and seeing it land in the cell while you are still deciding is the point. If that ratio is doing less work in your process than it should, the breakeven math behind reward-to-risk is worth twenty minutes.

The notes field is the one everybody cuts and the one that repays the most. Keep it to a single line and give it a shape so you are not staring at a blank cell: why you took it, what the market was doing, and one thing you would repeat or avoid. Recording your state of mind there is genuinely useful in aggregate, with the caveat that a note written after a red trade is partly fiction, since you already know the outcome when you write it. That distortion is the subject of how emotion rewrites a trade in memory, and it is the reason the grade column further down gets recorded before the exit rather than alongside it.

How Do You Build This in Excel or Google Sheets?

Paste the header line into A1. In Excel, select that row and hit Ctrl+T to convert the range into a real table. That single step is what makes the sheet maintain itself, because Microsoft's documentation on calculated columns in a table puts it plainly: enter a single formula in one cell and it automatically expands to the rest of the column. Enter your P&L formula once, in row 2, and every future trade you log inherits it.

Then make the four dropdown columns actual dropdowns. Direction gets Long and Short. Taken gets Taken and Skipped. Grade gets A+ down to F. Setup points at a second tab where you list your own setup names, which means you can add one later without touching the main sheet. In Google Sheets this lives under Data and data validation, and Google's guide to creating an in-cell dropdown list covers both the range-backed and hand-typed versions. Dropdowns matter more than they look: they turn four typing decisions into four clicks, and they stop you writing "bull flag", "Bull Flag", and "bullflag" into the same column and breaking every count you later run against it.

Six formulas fill the computed columns, one each. Paste the line starting with an equals sign into the cell named directly above it, and the table carries it down the column for every trade you log after that. Google Sheets takes all six unchanged.

K2 (Risk $)
=ABS(G2-H2)*J2

L2 (Planned R:R)
=IFERROR(ABS(I2-G2)/ABS(G2-H2),"")

N2 (P&L $)
=IF(M2="","",IF(C2="Long",(M2-G2)*J2,(G2-M2)*J2))

O2 (P&L %)
=IF(M2="","",IF(C2="Long",(M2-G2)/G2,(G2-M2)/G2))

P2 (R-multiple)
=IFERROR(N2/K2,"")

Q2 (Win/Loss)
=IF(N2="","",IF(N2>0,"Win","Loss"))

That is the working sheet. Header row pasted, six formulas pasted, and you have not typed a single column name. The table below says what each of those formulas is actually doing and adds two summary formulas worth parking on a second tab.

One gotcha worth knowing before it silently corrupts your win rate. A formula that returns an empty string still counts as non-empty to COUNTIF, so the tidy-looking COUNTIF(Q:Q,"<>") will happily count every blank-looking row your Win/Loss formula produced and quietly deflate the number. Counting Wins and Losses explicitly, as in the summary row above, avoids it. It is also why Win/Loss is a formula rather than a dropdown: a column you cannot type into is a column you cannot fudge on a bad day.

The Same Journal in Notion

Notion runs the same 18 columns as database properties rather than spreadsheet cells. Create a database, then set each property type: Date for the date, Title for the ticker, Select for Direction, Setup, Grade, and Taken, Number for entry, stop, target, size, and exit, Formula for the six computed columns, and Text for the notes. Notion's introduction to databases is the reference for the property system and the different views.

The formulas do not port. Notion has its own language that reads properties by name instead of by cell, so the P&L formula becomes something closer to if(prop("Direction") == "Long", (prop("Exit") - prop("Entry")) * prop("Size"), (prop("Entry") - prop("Exit")) * prop("Size")). Rewriting six formulas is a one-time cost of maybe fifteen minutes.

What you get for that is the thing spreadsheets are genuinely bad at. Every Notion row opens as its own page, so the chart screenshot lives inside the trade rather than floating over a grid of cells, and the notes field can run long on the trades that deserve it without wrecking your row height. You can also group a board view by Grade and see your A setups and your C setups as separate columns without writing a single formula. If the visual record of the setup matters more to you than the math, Notion is the better home.

Which Format Should You Use?

All three hold the same 18 columns, so this is a question about where you will actually open it rather than about features.

Google Sheets is the honest default for most traders. Free, opens anywhere, takes the formulas above with no edits, and the row is short enough that logging from your phone on the way home is realistic. Excel wins if you are already fluent in it. Notion wins if attaching the chart to the trade is the part you care about. A PDF or printed version is fine as a physical end-of-day sheet, but it cannot compute anything, so treat it as a capture device that gets typed up later rather than as the journal itself.

When Do You Fill It In and When Do You Review It?

The template is worthless without a filling rule and a reading rule, and those are two separate habits that fail for different reasons.

• Before entry
  Ten columns, filled while you are still deciding. Date, ticker, direction, setup, grade, taken, entry, stop, target, size. If you cannot fill the stop cell, you do not have a trade yet, you have an urge. This half takes about twenty seconds once the dropdowns are in.
• Within minutes of the exit
  Exit price and the one-line note, while the session is still in your head. Not tonight, not tomorrow. A note written six hours later is a reconstruction, and it will be a flattering one.
• Every skipped setup
  Pre-trade half only, Taken set to Skipped, exit left blank. Fifteen seconds. These rows are the ones a broker statement can never give you.
• Once a week, 15 minutes
  The actual review. Sort by setup and read the R column. Sort by grade and check whether your good grades outperformed your bad ones. Read the notes on your three worst trades. Write down one thing to do differently and nothing else, because a list of six changes is a list of zero changes.
• Once a month, briefly
  Zoom out. Is your average R moving? Is one setup carrying the account or quietly draining it? Monthly is where sample size starts being real, since a week of trades is mostly noise.

The weekly session is the one that gets skipped, and skipping it turns the whole sheet into data entry for nobody. Fifteen minutes on a Friday afternoon or a Sunday morning is enough if the columns are doing their job. If a trade from that week deserves more than a glance, the method for working back through it properly is in the walkthrough on re-grading a trade after you took it.

The Column Most Templates Leave Out

Column E, the grade, does not appear in any of the popular journal templates, and neither does column F, taken or skipped. Both are missing for the same structural reason: those templates are built to record what happened, and a grade is not something that happened. It is a judgment about setup quality made while the outcome is still unknown.

That timing is the entire value. A note written after the exit is contaminated by the result, which is why the same setup gets logged as "I forced it" when it loses and "I trusted my read" when it wins. A grade recorded before entry cannot be revised that way, so your weekly review is comparing a real prediction against a real outcome instead of against a memory that has been quietly edited. The full case for why recording after the fact leaves half the loop missing is laid out in the argument for grading before you log, and I would rather link it than repeat it here. What matters for the template is that both columns exist and that you fill them before you click.

You can grade setups yourself against a fixed written checklist and get most of the benefit, and plenty of people do. The reason a tool helps is consistency: your own bar quietly drops at 10:40am on a slow day when nothing has set up yet. SnapPChart grades a chart screenshot against the same rubric every time and hands back a letter grade with an entry, a stop, and the case against the trade, which is a value you copy into column E. Being clear about the boundary, since this category is full of vague claims: it does not keep your journal, sync with your sheet, import anything, or know whether you took the trade. It reads one static chart and scores the structure on it. The mechanics of that read are covered under AI chart analysis. The spreadsheet is yours and stays yours.