Early in my journaling life, I built a spreadsheet with twelve columns. By month three, I was only filling in four of them consistently. The rest were ambitious ideas — columns for "market sentiment" scored on a 1–5 scale, a column for "news events nearby" — that I never actually used to make decisions. I'd track the data but never act on it. That experience, embarrassing as it is, taught me more about what trade journal spreadsheet template columns actually need to be than any blog post ever did.
This isn't a theoretical list. It's a practical breakdown of what to capture, what each column actually tells you, and how those pieces connect into a picture you can trade from.
The Non-Negotiable Trade Journal Spreadsheet Template Columns
Before adding anything exotic, you need a core set of columns that every single trade fills in — no exceptions. These are the entries that feed your win rate, your profit factor, and your expectancy. Miss them on even a quarter of your trades, and your analytics become unreliable.
Date and time. Not just the date. The time matters. A 9:30 AM New York open trade on EUR/USD and a 3:00 PM London close trade on EUR/USD can have completely different characteristics even if both are long setups on a bullish day.
Instrument. Obvious, but keep it consistent. EUR/USD not "eurusd" or "eur/usd" — pick one format and never deviate. Inconsistency here wrecks any per-pair breakdown you try to run later.
Direction. Long or short. That's it.
Entry price. The actual filled price, not the price where you placed the order.
Stop loss price. Required for R-multiple calculations. Without this, every downstream metric that uses risk as a denominator is meaningless.
Take profit price (initial). Even if you trail your stop or exit manually, log the original TP. It tells you whether your pre-trade planning was realistic.
Exit price. Again, the actual fill.
Lot size / position size. Critical for calculating real dollar P&L on leveraged instruments.
P&L in account currency. The dollar (or pound, or euro) result. Not pips alone — pips don't pay rent.
P&L in pips or points. Keep this alongside the dollar figure. Pips normalize across position sizes and let you compare trade quality independent of how much you risked.
Result (W/L/BE). Win, loss, or breakeven. A simple categorical tag.
That's eleven columns. Some of you will add a twelfth for commission and swap — reasonable, especially if you're on a raw-spread account where commissions are a meaningful percentage of your average winner.
R-Multiple: The Column Most Traders Skip
Your R-multiple column is calculated, not manually entered. The formula is: (exit price − entry price) / (entry price − stop loss price) for a long trade, with the sign adjusted for direction.
Say you went long USD/JPY at 149.20, stopped at 148.95 (25 pips of risk), and exited at 149.82 (62 pips of gain). Your R-multiple is 62 / 25 = +2.48R.
Now here's why this column changes how you read your journal. If you run a worked example over 40 trades — 13 winners totaling $3,100 and 27 losers totaling $2,050 — your average winner is $238.46, and your average loss is $75.93. Your profit factor is $3,100 / $2,050 = 1.51. Your expectancy per trade is ($3,100 − $2,050) / 40 = $26.25. Those numbers only make sense as a system metric if your position sizes were consistent, which is where R-multiple saves you — it removes position size noise entirely and shows you the true shape of your edge.
If you want to check your own figures, the profit factor calculator and the win rate calculator on Edgelog are free, standalone tools you can run separately from any journal.
Setup and Session Tags: Where the Real Patterns Hide
A column for the setup tag is one that too many traders leave out of their template because it feels soft. It isn't. This is the column that eventually tells you "my breakout-retest setups win at 58%, but my counter-trend mean-reversion setups win at 31%" — information worth far more than knowing your overall win rate.
Keep the tag vocabulary small and fixed. Four to six setup names maximum. If you have fifteen setup names, you effectively have none, because no individual category will ever have enough trades to be statistically meaningful.
Session is a similar idea. London open, New York open, Asian range, overlap — pick your own taxonomy and use it every trade. Many traders discover their worst trades cluster in a single two-hour window. That discovery alone can eliminate a meaningful chunk of losses.
Mood or mental state is optional but worth trying for at least three months. A simple scale — Focused / Neutral / Distracted / Revenge — is enough. Traders who track this often find that their loss rate on "Distracted" trades is dramatically higher than their average, which gives them a concrete, data-backed reason to walk away from the screen on bad days.
What to Do With Screenshots
A screenshot column — or more accurately, a screenshot link column — is where your journal earns its depth. Log a direct link to, or the filename of, your pre-trade and post-trade chart captures. Looking back at a 2.5R winner six weeks later without the chart is almost useless. With the chart, you can see whether your entry was clean or whether you got lucky on the fill, whether the price behaved the way you expected, and what you missed.
This is the column most traders stop filling in when they're busy. Don't. A journal entry without a screenshot is a data point. A journal entry with a screenshot is a lesson.
Notes: Free Text Done Right
The notes column tends to attract two failure modes. The first is traders who leave it blank because "I'll remember." You won't. The second is traders who write a paragraph of emotional processing that makes them feel better but contains zero actionable information.
A useful notes entry is one or two sentences that answer: what did I see that made me take this trade, and did price do what I expected? "Waited for the 15m close above 1.0840 after a clean range break. Price ran 40 pips before stalling at the 1.0880 structure level — I exited manually at 1.0872 rather than hold through it." That's a note you can trade from later.
Columns You Probably Don't Need
Market sentiment scores are almost always noise unless you have a very specific, replicable framework for producing them. Broker, platform, and account type columns are usually pointless unless you're genuinely comparing performance across multiple accounts. Columns tracking your target RR alongside your actual RR are useful only if you fill in the pre-trade target before you exit — if you enter it after, you'll unconsciously rationalize.
Be brutal. Every column you add is a column you have to fill in on every trade, forever, or your data becomes inconsistent. Start lean.
From Spreadsheet to Something Better
The honest reason I moved away from spreadsheets wasn't laziness — it was the manual work of building the formulas, maintaining consistent column names, and getting pivot tables to not break every time I added a new setup tag. A purpose-built journal handles all of that automatically.
Edgelog is completely free — no trial period, no card required, unlimited trades — and it tracks every column described above without you building a single formula. For forex traders, MT4 and MT5 positions typically sync automatically through the EdgelogSync Expert Advisor (in our testing, this happens within seconds of a close, though results can vary depending on broker connection quality). Binance, Bybit, and OKX connect via read-only API keys. Any other broker works through CSV or Excel import.
If you prefer to keep building your own sheet, everything in this post still applies. But if you want to stop maintaining infrastructure and start actually using your data, the free journal is worth trying. You can also read more on the mechanics in how to journal your forex trades effectively or compare options in free vs paid trading journals — what you actually need.
The columns aren't magic. Filling them in consistently, on every trade, is the whole job.