The Trading Journal Guide: What to Track, How to Track It, and Why It Works

Every serious trader knows they should keep a trading journal. Very few do it consistently, and even fewer do it in a way that produces usable insight. The reason most journals fail is simple: they track the wrong things, or they track the right things without a review process to extract meaning from them. This guide builds a journaling system that actually works.

What Most Journals Get Wrong

The two most common journal failures:

• Pure P&L tracking: Recording only entries, exits, and profit/loss tells you outcomes but not causes. You can't improve what you don't understand.
• Screenshot collection: Dozens of chart screenshots with no systematic tagging or analysis. After 100 trades you have 100 pictures and no patterns.

A useful journal captures the decisions that led to outcomes — not just the outcomes themselves. The question it answers is not "what happened?" but "why did it happen, and was the decision good or bad independent of the result?"

The Core Data Fields: What to Capture on Every Trade

For each trade, record:

• Date and time of entry/exit
• Instrument traded
• Direction: Long or short
• Setup type: Give your setups names (e.g., "London breakout", "pullback to 50 EMA", "support bounce"). Use the same names consistently so you can filter by setup later.
• Timeframe used for entry
• Market condition at time of entry: Trending / ranging / high volatility / low volatility
• Entry price, stop loss price, take profit price
• Risk in % and $
• Actual exit price and P&L
• R achieved: If you risked $200 and made $400, that's 2R
• Rule compliance: Did this trade meet all your entry criteria? Yes / No / Partially
• Emotional state before entry: Calm / Anxious / Overconfident / Bored / Impatient
• Notes: One or two sentences on what you noticed — not a novel

The Daily Journal Entry (End of Session)

Write this within one hour of closing your platform, while everything is still fresh. Keep it brief:

• Did I follow my plan today? (Yes / Mostly / No)
• Which rules, if any, did I violate?
• What was my emotional state during the session?
• What would I do differently?
• Tomorrow's intention: [one specific behavior to focus on]

The Weekly Review: Where Patterns Emerge

Once a week, pull your trade data and answer:

• What was my rule compliance rate this week? (Target: 90%+)
• Which setup type performed best? Which performed worst?
• Did any specific session, day of week, or market condition produce significantly worse results?
• Were there any revenge trades or trades taken out of boredom? How much did they cost?
• What's the one thing I want to improve next week?

Most traders improve more from eliminating their worst behaviors than from optimizing their best ones. The weekly review is where you find out what your worst behaviors actually are.

The Monthly Statistics Review

Once a month, calculate these metrics across all trades:

• Win rate, average win, average loss
• Profit factor (total gross profit ÷ total gross loss)
• Average R achieved per trade
• Best and worst trading days (by session and day of week)
• Rule compliance rate (# compliant trades ÷ total trades × 100)
• Emotional state correlation: compare P&L when "calm" vs "anxious"

After 3 months of consistent tracking, these statistics will give you a clearer picture of your actual edge than any backtesting tool — because they're based on your real trades, in real market conditions, with your actual psychology included.

Digital vs Physical Journal

Both work. The advantage of a physical notebook is that the act of writing slows you down and forces deliberate reflection. The advantage of a digital journal — especially a dedicated trading journal app — is that it can automatically calculate statistics, filter by setup type, and show performance charts without manual work. The best approach: brief physical notes during or immediately after the trade, then transfer to a digital journal in the evening for analytics. TradersCompanion's journal was built exactly for this workflow: quick trade entry that automatically populates your analytics dashboard.