Most trading journals fail because they ask for too much at the wrong time. Screenshots, ten emotion fields, and essay-length notes after a losing session do not survive a month. The journals that stick start minimal, log fast, and review on a schedule — not when guilt kicks in.
This guide gives you a five-step template: one journal per strategy, five fields per trade, immediate logging, weekly review, and monthly pattern checks. Follow it for four weeks and you will have enough R data to calculate expectancy honestly.
Step 1 — Pick one journal per strategy or session
Separate a scalping journal from a swing journal. Mixed data makes expectancy meaningless — a +0.6R scalping edge and a −0.2R swing experiment average to noise. Name the journal after the setup or session you are testing, e.g. “NY open breakouts” or “EURUSD London”.
Write three sentences of rules in the journal description: entry trigger, invalidation (stop), and when you will not trade. That text becomes your review anchor when you want to take “just one more” unplanned trade.
Step 2 — Log these fields every trade
- Date and session (or market open context)
- Direction and instrument
- Planned risk (1R) and result in R
- Setup tag (one primary label)
- Rule adherence: followed plan yes/no
Optional but valuable once the core five are automatic: entry/exit time, notes on execution mistakes, screenshot link, planned vs realized RR. Add fields only when weekly review proves you use them — not because a template looked professional.
Step 3 — Log immediately after close
Memory distorts within hours. Winners feel cleaner; losers get reframed. Log before checking social media, news, or the next setup. Target under two minutes per trade.
Apps beat spreadsheets for speed because fields are fixed and analytics update automatically. If you trade mobile, pick a journal that works as a PWA on your phone so logging happens before you leave the desk.
Step 4 — Weekly review (30 minutes)
- Total R and expectancy for the week
- Best and worst setup tags by average R
- Trades where rules were broken — count them and sum their R cost
- One process fix for next week (not ten)
- Trade count vs your planned max — spot overtrading
End weekly review with one sentence: “Next week I will ___.” Single-focus changes compound; ten resolutions do not.
Step 5 — Monthly pattern check
Use calendar or diary view to spot day-of-week bias, overtrading clusters, and tilt after large wins or losses. Monthly review is about patterns across sessions; weekly review is about execution on individual trades.
Ask: Did expectancy rise or fall vs last month? Did any tag cross from positive to negative R? Should size stay flat until sample size grows? Never scale because of one green month — use 30+ trades of tag-level expectancy.
Trading journal template (minimal)
Copy this header row if you start in Excel: Date | Session | Symbol | Direction | Tag | Planned RR | Result R | Rules followed (Y/N) | Notes. Migrate to an app when formulas and charts eat more time than review.
What not to do
- Journal only losing trades (survivorship bias in reverse)
- Change tag definitions every week
- Skip logging breakeven or scratch trades
- Review only P&L in dollars without R context
- Add complexity before the basic habit sticks
Building the habit
Set a phone reminder for five minutes after your session ends: “Log trades.” Link the habit to session close, not bedtime. Traders who batch-log on Sunday lose detail and skip scratches. Two minutes × five trades is ten minutes — cheaper than one unreviewed revenge trade.
How Traderizz helps
Traderizz implements this workflow out of the box: create a journal with rules → log RR and tags per trade → check overview for expectancy and total R → use the trader diary for session drill-down. Multi-journal support keeps strategies separated without spreadsheet tabs.
CSV import loads up to 500 historical trades if you are migrating from Excel. Jarvis answers questions about your logged data, and the app installs as a PWA for quick mobile logging. Sign in with Google — free to start, private to your account.
Start today with one journal and five fields. Four weeks from now you will have the sample to calculate expectancy — the moment a journal stops being homework and starts showing where your edge lives.