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How to Build a Trading Journal That Actually Improves Your Prop Account Performance

Most traders keep terrible journals — or none at all. A well-built journal is the difference between repeating mistakes and building a real edge. Here's the exact structure that works.

A trading journal is the most cited and least implemented advice in trading. Everyone knows they should keep one. Almost nobody builds one that actually drives improvement. The reason: most journal templates capture data without generating insight. Here's how to build one that works.

What a Good Journal Is NOT

  • A log of winning and losing trades — that's just accounting
  • A collection of screenshots with no analysis
  • A place to vent about bad trades
  • A reflection of what you wish you'd done, not what you actually did

The Core Journal Entry: 5 Required Fields

Every trade entry should answer these five questions: (1) What was my entry reason — what specific condition triggered this trade? (2) Was this my A-setup, B-setup, or an impulse trade? (3) Was my position size compliant with my risk rules? (4) What was the R-multiple result? (5) What would I do differently?

Journal discipline test: if you can't write a specific entry reason in 2 sentences, you didn't have a reason — you had a feeling. Feelings don't belong in a funded account.

Setup Classification: The A/B/C System

Classify every trade as A (meets 100% of entry criteria), B (meets 70–80%, borderline entry), or C (impulse, FOMO, revenge). Then track win rates by classification. Almost universally: A-setups have the highest win rate and best R-multiple average. C-setups destroy accounts. This data, accumulated over 30+ trades, tells you exactly where to improve.

R-Multiple Tracking

R-multiple is the result of a trade expressed as a multiple of your initial risk. If you risked $200 and made $600, the result is +3R. If you risked $200 and lost $200, it's -1R. Tracking R-multiples instead of dollar amounts removes account-size bias and lets you compare performance across different account sizes and time periods.

Weekly Review Protocol

  • Total trades this week: how many were A, B, C?
  • Average R-multiple by setup type
  • Did I follow all firm rules? Any near-misses?
  • What was the biggest mistake? Write one specific rule to fix it.
  • What was the best trade? What conditions made it work?
  • Is my overall expectancy (average R-multiple) positive?

Platform Options for Prop Firm Journals

  • Notion or Obsidian — free, flexible, great for adding screenshots and notes
  • Edgewonk — paid trading journal software with statistical analysis built in
  • TraderVue — imports directly from MT4/MT5, automatic R-multiple calculation
  • Simple spreadsheet (Google Sheets) — lowest barrier to entry, highly customizable

The journal is a mirror. If you don't like what you see in it, that's exactly the point. The discomfort of accurate self-assessment is what drives real improvement.

  • FundCoupon Team

The 30-Trade Minimum for Valid Analysis

Don't draw conclusions from fewer than 30 trades. Trading results have too much variance at small sample sizes. After 30 trades in your journal, your win rate and average R-multiple are starting to become statistically meaningful. After 100 trades, you have a real edge data point.


Set a rule for yourself: you cannot take the next trade until the previous trade's journal entry is complete. This slows you down, forces reflection, and eliminates the reactive 'just one more' trading that kills funded accounts.


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