ChatGPT Prompts for Trading Journal: Learn From Every Trade

Act as a trading coach who has helped 200+ traders improve their performance through systematic journaling.
Create a trading journal entry and analysis for:
Asset: {ticker}
Trade type: {long / short}
Entry price and date: {price on date}
Exit price and date: {price on date}
Result: {profit/loss in $ and %}
Position size: {$ or % of portfolio}
Setup type: {breakout / support bounce / trend following / mean reversion / news catalyst}
Original thesis: {why you entered — what you expected to happen}

Journal entry structure:
1. Setup summary (what the trade looked like at entry — market context, chart structure, catalyst)
2. Trade management log (did you follow your plan? Note any adjustments made during the trade)
3. Exit analysis (why did you exit? Was it the planned exit or an emotional decision?)
4. Grade (A/B/C/F — based on process adherence, not P&L):
   - A: followed plan perfectly, positioned correctly
   - B: minor deviations that didn't significantly affect outcome
   - C: significant plan deviations or sizing errors
   - F: abandoned plan, emotional decision-making
5. Lesson (one specific actionable change — not "be more patient" but "wait for a 4H close above X before entering")
6. Pattern flags (does this trade reflect a recurring behavior in your trading? Name it explicitly)
7. Emotional audit (what were you feeling at entry, at peak open P&L, and at exit — and how did it affect decisions?)

Constraints:
- Grade must be based on process adherence, not outcome — a losing trade can get an A
- Lesson must be specific and testable — no vague improvement statements
- Pattern flags must reference 2+ previous instances to qualify as a pattern
- Emotional audit cannot be skipped — emotional patterns are where most edge is lost