// Resources
Trading Journaling Guides
Free trading journal guides for forex, futures, crypto, and prop-firm traders. Learn what to track, how to review trades, and how to turn journal data into an edge.
Start here
Trade Journal Checklist
The core fields every serious trader should capture after each trade. Use this before building any fancy analytics.
Open resourceReview
Weekly Review Framework
A repeatable weekly review process to find leaks in setups, sessions, execution, risk, and psychology.
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CSV Templates
Download spreadsheet templates for forex, futures, crypto, psychology review, and general trade journaling.
Open resourceWhy journaling matters more than your entry
Most traders obsess over entries, but your long-term edge usually lives in patterns: which setup actually works, which session damages your account, which emotion leads to rule breaks, and whether your winners are large enough to pay for your losers.
A trading journal gives you a feedback loop. Without it, every trading day feels emotional and random. With it, your performance becomes measurable and fixable.
What to journal after every trade
A good trade journal should capture both the numbers and the behavior behind the trade. The numbers tell you what happened. The behavior tells you why it happened.
The best trade journal format
Start simple. Every trade should have a consistent row of data: date, instrument, direction, setup, session, timeframe, entry, stop, target, result, P&L, emotion, mistake, lesson, and review status.
Once that is consistent, you can build real analytics: win rate by setup, profit factor by session, drawdown by week, average R by instrument, and execution rating by emotion.
How to use R-multiple in your journal
R-multiple measures each trade result relative to your planned risk. If you risked $100 and made $250, the trade was +2.5R. If you lost your planned risk, it was -1R.
R makes your journal cleaner because it lets you compare trades across different account sizes, instruments, and markets. A $500 win may be great on one account and terrible risk management on another. R solves that.
Weekly trading review framework
At the end of each week, answer these questions:
- Which setup produced the most total R?
- Which setup or session caused the biggest drawdown?
- Did I follow my risk rules on every trade?
- What was my most common mistake?
- What emotion appeared before my worst trades?
- What should I repeat next week?
- What one behavior should I remove next week?
From spreadsheet to ProfitPnL
CSV templates are a good starting point if you are not journaling yet. But spreadsheets become slow once you need filters, dashboards, certificates, AI review, and prop account tracking.
ProfitPnL is built to turn those same journal fields into dashboards automatically, so you can spend less time formatting spreadsheets and more time reviewing your edge.
Ready to journal faster?
Start with the free templates, then move your workflow into ProfitPnL to track your edge automatically.