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 2026-09-16 16:04 UTC · Sample account · London breakout
Net result
-$151.45
-1.00R · fees $1.00
Execution
- Size
- 85
- Entry price
- 228.89
- Exit price
- 227.12
- Closed
- 2026-09-16 18:25 UTC
- Fees
- 1
Risk plan
- Stop loss
- 227.11
- Take profit
- 234.23
- Planned risk
- $151.30
- Planned reward : risk
- 3.00 : 1
- Realised R
- -1.00R
Notes
Why I took it (pre-trade)
Asian range is tight; waiting for the London open to break it with a close outside the range.
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
- London breakout
- 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.