Why Use a Ready-Made Template
Our earlier guide on why every trader must keep a trading journal covers the discipline behind logging trades. This page is the practical follow-through — an actual spreadsheet built to make that discipline easier to sustain, so the first hurdle isn't designing your own tracker from scratch.
The template has three sheets: a Trade Log to record every trade, a Dashboard that turns those logged trades into live statistics automatically, and an Instructions sheet explaining exactly how to use both. It works in Excel or Google Sheets.
Use the sticky bar above, or the cards below, to skip straight to the concept you're looking for.
How to Actually Use This Template (Before You Fill In Your First Row)
The template does the arithmetic for you, but it can't make the honesty decisions — those still depend on the person filling it in. Getting real value from it means a few simple habits from day one.
Before your first entry, keep three things in mind: Log the same day you trade — memory fades fast, and a journal filled in days later tends to drift into excuses. Fill in the reasoning fields honestly — the "why" columns are where the actual learning happens, not the P&L column. Check the Dashboard weekly — that's where patterns across many trades actually become visible.
What's Inside the Template: Three Sheets
| Sheet | Purpose |
|---|---|
| Dashboard | Auto-calculated statistics — no manual entry needed here at all |
| Trade Log | Where every trade is recorded, row by row, as you take it |
| Instructions | A short guide explaining exactly how to use the other two sheets |
The Trade Log is the only sheet that needs regular manual input — the Dashboard simply reads and summarises whatever has been logged there.
The Trade Log: What You Fill In vs What's Automatic
| Type | Columns |
|---|---|
| You fill in (blue) | Date, Symbol, Segment, Trade Type, Qty, Entry, Exit, Stop Loss, Target, Charges, Setup, Reasons, Holding Days, Notes |
| Automatic (black) | Sr No, Gross P&L, Net P&L, P&L %, Result |
Once Entry Price and Exit Price are filled in, the Result column (Win, Loss or Breakeven) and the P&L figures fill themselves in instantly — the automatic columns should never be typed into directly.
The Columns That Matter Most: Setup, Reasoning & Discipline Notes
| Column | Why It Matters |
|---|---|
| Setup / Strategy | Groups trades so the Dashboard's segment breakdown can reveal which setups actually work |
| Reason for Entry | The honest, pre-trade justification — the field most connected to genuine improvement |
| Reason for Exit | Whether the exit followed the original plan or was an impulsive deviation |
| Emotion / Discipline Notes | A short honest note on confidence, hesitation, or any rule broken |
These four columns turn a spreadsheet of numbers into an actual learning tool. As covered in our dedicated trading journal guide, judging execution quality separately from the outcome is what reveals whether a loss was a normal, well-planned trade or the result of a broken rule.
These are also the four columns most likely to get skipped when a trader is in a hurry — they're worth protecting as non-negotiable, even on a busy trading day.
The Dashboard: Your Stats, Calculated Automatically
The Dashboard reads directly from the Trade Log using live formulas — total trades logged, winning/losing/breakeven counts, win rate, total and average P&L, largest win and loss, total charges paid, and the reward:risk ratio all update the moment a new trade is entered. Nothing on this sheet needs to be typed in manually.
Because every figure here is calculated live, the Dashboard is only ever as accurate and honest as the Trade Log feeding it — inconsistent or dishonest logging shows up as misleading statistics here.
Reading Win Rate & Reward:Risk
Win rate and reward:risk are meant to be read together, not separately — as covered in our position sizing guide, a lower win rate can still be profitable if the average win is meaningfully larger than the average loss, and a high win rate can still lose money if the occasional loss is oversized. The Dashboard calculates both automatically, so the relationship between them is visible at a glance rather than requiring separate manual math.
A reward:risk figure above 1 means the average win is larger than the average loss — worth watching over time rather than judging from any single week's numbers.
Segment-Wise Breakdown: Finding Your Best Setup
| Segment | What the Dashboard Shows |
|---|---|
| Equity | Number of trades and net P&L for this segment |
| F&O | Number of trades and net P&L for this segment |
| Intraday | Number of trades and net P&L for this segment |
| Swing | Number of trades and net P&L for this segment |
| Positional | Number of trades and net P&L for this segment |
The Dashboard automatically splits results by the Segment you enter for each trade, showing both the number of trades and the net profit or loss for Equity, F&O, Intraday, Swing and Positional trades separately. This is often the first place a real pattern becomes visible — a trader might discover, for instance, that swing trades are quietly outperforming intraday ones despite feeling otherwise.
Consistent, accurate tagging of the Segment column for every trade is what makes this breakdown meaningful — inconsistent tagging blurs exactly the pattern this feature is designed to reveal.
How to Start Using It Today
| Step | Action |
|---|---|
| 1 | Download the template and open it in Excel, or upload it to Google Sheets |
| 2 | Delete or overwrite the sample trade in row 5 of the Trade Log |
| 3 | Log your next real trade the same day you take it, filling in all blue cells |
| 4 | Check the Dashboard weekly to review your accumulating statistics |
The Trade Type and Segment columns use dropdown lists — click the cell and choose from the list rather than typing free text, so the Dashboard's formulas can match and count them correctly.
Common Trade Journal Template Mistakes to Avoid
Typing over the automatic columns
Overwriting the black, formula-driven cells breaks the calculation and stops the Dashboard from updating correctly.
Leaving the sample trade in place
Forgetting to delete or overwrite the example row in row 5 will skew early statistics on the Dashboard.
Typing free text instead of using the dropdowns
Entering Segment or Trade Type manually, with inconsistent spelling, prevents the Dashboard's formulas from matching and counting those trades correctly.
Skipping the reasoning columns
Filling in only price and quantity data, without the Setup, Reasoning and Notes fields, loses most of the template's actual learning value.
Logging trades days later from memory
Reconstructing the reasoning after the outcome is already known tends to unconsciously justify whatever happened, rather than capture the honest plan.
Never actually checking the Dashboard
A perfectly logged Trade Log that's never reviewed provides little more benefit than not logging at all.
Your Trade Journal Template Confirmation Checklist
Before considering your setup of the template complete, run through this five-point check:
Sample Trade Cleared
Has the example row in the Trade Log been deleted or overwritten with your own data?
Dropdowns Used Correctly
Are Segment and Trade Type being selected from the dropdown lists, not typed manually?
Automatic Columns Untouched
Have the black, formula-driven columns been left alone rather than overwritten?
Reasoning Fields Filled
Are Setup, Reason for Entry, Reason for Exit and Discipline Notes being filled in honestly for every trade?
Weekly Review Scheduled
Is there a fixed time each week set aside to actually look at the Dashboard?