Sample dataSAMPLE DATA: a fictional journal, not real trades
Everything on these pages is made up to show you how TradeNotes looks and what its numbers mean. It is read-only, needs no account, and is not a performance claim or financial advice.
AAPL long
Opened 2026-07-30 15:41 UTC · Sample account · Trend pullback
Net result
-$191.44
-0.91R · fees $1.00
Execution
- Size
- 92
- Entry price
- 190.39
- Exit price
- 188.32
- Closed
- 2026-07-30 18:13 UTC
- Fees
- 1
Risk plan
- Stop loss
- 188.1
- Take profit
- 194.97
- Planned risk
- $210.68
- Planned reward : risk
- 2.00 : 1
- Realised R
- -0.91R
Notes
Why I took it (pre-trade)
Higher-timeframe trend intact. Looking for a pullback to the 20 EMA with a rejection candle.
How it went (post-trade)
Stopped out for a normal 1R loss. Nothing wrong with the process.
Lesson learned
A clean loss is the cost of doing business. Keep size consistent.
Playbook checklist Sample data
4 of 4 entry rules followed. In your own journal you tick each rule on the trade, and analytics compares your results when you followed your rules and when you did not.
Context
- Market
- stock
- Strategy / setup
- Trend pullback
- Timeframe
- M5
- Session
- New York
Discipline
Emotions
Mistakes
None tagged.
- Followed the plan
- Yes
- Discipline score
- —
Sample data, read-only. In TradeNotes you can edit, tag, attach screenshots and delete your own trades.