Trading Journal Template: Excel and Google Sheets Fields

The best trading journal template is not the one with the most columns. It is the shortest structure that captures your plan, actual execution, chart evidence, and review outcome consistently. Excel and Google Sheets are excellent starting points because they are flexible and transparent. The template below focuses on fields that answer a future question rather than collecting data simply because it is available.

Core spreadsheet columns

1. Date and time: use a consistent timezone.
2. Instrument and market: ticker, pair, contract, or asset class.
3. Direction, entry, exit, size, fees, and initial stop.
4. Planned risk: account currency and percentage, plus the 1R amount.
5. Setup and context: controlled tags from your playbook.
6. Emotion and execution: short labels tied to observable behavior.
7. Screenshot link: pre-entry or decision chart, plus exit evidence if useful.
8. Result: net P&L, result in R, and process grade.
9. Lesson: one specific sentence, not a full diary entry.

Suggested Excel or Sheets layout

A workable order is: Date, Time, Market, Symbol, Direction, Entry, Exit, Stop, Size, Fees, Planned_R, Result_R, Setup, Session, Market_Condition, Emotion, Execution_Tag, Screenshot_URL, Process_Grade, Lesson. Freeze the header, enable filters, and format the range as a table. Keep formulas in protected columns so sorting does not break references.

Define R before writing formulas

One R is the amount you planned to lose if the initial stop was reached. For a simple stock trade, planned R may equal stop distance multiplied by shares, plus expected costs. For other products, contract value and leverage affect the calculation. Result_R is net P&L divided by planned R. If the planned amount was zero or undocumented, leave the ratio blank rather than inventing precision.

Formulas and summaries that answer real questions

• Total R: the sum of valid Result_R values.
• Average R: total R divided by the number of comparable trades.
• Win rate: profitable trades divided by closed trades, excluding blanks.
• Average win and average loss: useful together, not in isolation.
• Profit factor: gross profits divided by absolute gross losses.
• Pivot table: Setup by count, average R, and process-grade rate.

A spreadsheet formula should support a decision. A high win rate can coexist with poor expectancy when losses are much larger than wins. A strong average can be driven by one outlier. Always display trade count beside grouped metrics, and avoid treating a small sample as a stable edge.

Use data validation for clean tags

Create a separate Lists sheet for setup, session, market condition, emotion, and execution tags. Apply dropdown validation to the journal columns. This prevents spelling variants from splitting a pivot table. Add a new label only when it represents a distinct review category with a written definition.

Store screenshots without bloating the workbook

Save images in an organized cloud or local folder and place a link in Screenshot_URL. A naming pattern such as 2026-07-30_EURUSD_long_01 keeps files sortable. Avoid embedding full-resolution images in every row because workbook size and loading time grow quickly. Protect private account information before storing or sharing screenshots.

A weekly review checklist

1. Reconcile the sheet against broker history and add missing trades.
2. Check formula errors, blank risk fields, and inconsistent tags.
3. Grade process before filtering by profit or loss.
4. Compare setup and session groups with sample size visible.
5. Open screenshots behind outliers and repeated rule breaks.
6. Record one behavior to continue and one controlled experiment.

When a template should become software

Move when maintenance starts reducing completeness. Common signals are screenshots scattered across folders, tags that need constant cleanup, journal rows delayed until the weekend, or calendar analysis that requires rebuilding pivots. Software should preserve the same transparent fields while reducing repeated input. It should not make unverified values look authoritative.

TradeLogger follows that transition: upload a screenshot, review extracted fields in an editable row, add tags, and use calendar review instead of maintaining image links and repeated filters. You can test it alongside your sheet for a few weeks. Keep whichever system produces the more complete and useful record.