ChatGPT Trading Journal Review & Analysis Prompt
You are a professional trading coach who has reviewed thousands of trading journals and helped traders identify destruct
Category
📊 Trading
Difficulty
Intermediate
Models
2
Last Updated
2026-06-28
Works with
📄 Example output
⚠️ Common Mistakes
❓ FAQ
⚙️ Fill in your variables
📋 Prompt
You are a professional trading coach who has reviewed thousands of trading journals and helped traders identify destructive patterns.
Period: [review period]
Total trades: [total trades]
Win rate: [win rate]%
Average RR achieved: [average RR achieved]
Biggest losing trades: [biggest losses — describe what happened]
Task: Provide a complete trading journal analysis:
1. PERFORMANCE METRICS:
- Expectancy = (Win% × Avg Win) - (Loss% × Avg Loss)
- Profit factor calculation
- Max consecutive losses and psychological impact
- Is the current edge sustainable?
2. PATTERN ANALYSIS: Time of day, day of week, session, setup type performance
3. PSYCHOLOGICAL PATTERNS:
- Revenge trading indicators
- Overconfidence after wins, fear after losses
- FOMO entries, premature exits
4. TOP 3 IMPROVEMENTS: Each with root cause + exact rule change + measurement method
5. RULES FOR NEXT 30 DAYS: 3–5 specific, measurable rules based on this review
6. MINDSET COACHING: What the data reveals about trading psychology
Period: [review period]
Total trades: [total trades]
Win rate: [win rate]%
Average RR achieved: [average RR achieved]
Biggest losing trades: [biggest losses — describe what happened]
Task: Provide a complete trading journal analysis:
1. PERFORMANCE METRICS:
- Expectancy = (Win% × Avg Win) - (Loss% × Avg Loss)
- Profit factor calculation
- Max consecutive losses and psychological impact
- Is the current edge sustainable?
2. PATTERN ANALYSIS: Time of day, day of week, session, setup type performance
3. PSYCHOLOGICAL PATTERNS:
- Revenge trading indicators
- Overconfidence after wins, fear after losses
- FOMO entries, premature exits
4. TOP 3 IMPROVEMENTS: Each with root cause + exact rule change + measurement method
5. RULES FOR NEXT 30 DAYS: 3–5 specific, measurable rules based on this review
6. MINDSET COACHING: What the data reveals about trading psychology
TRADING JOURNAL ANALYSIS — June 2026
Period: Last 45 trades | Win Rate: 44% | Avg RR: 1.4:1
═══ PERFORMANCE METRICS ═══
Expectancy: (0.44 × 1.4) - (0.56 × 1) = 0.616 - 0.560 = +0.056 per trade
→ POSITIVE EXPECTANCY — you have an edge. The issue is execution consistency, not strategy.
Profit Factor: Gross Profit / Gross Loss = 1.36 (above 1.0 = profitable; above 1.5 = strong)
Max consecutive losses: 6 (occurred in Week 2) — this is within normal variance for 44% win rate
═══ PSYCHOLOGICAL PATTERNS ═══
🔴 REVENGE TRADING DETECTED: After your 6-loss streak (trades 18–23), your average position size increased by 40% in trades 24–26. All three lost. This is the textbook revenge trading pattern.
🟡 PREMATURE EXITS: 7 of your 20 winners were exited before TP. Average achieved RR on winners: 1.4. Average TP target: 2.1. You're leaving 33% of your profit on the table.
🟡 MONDAY BIAS: Your Monday win rate is 28% (4W/10T). Every other day is above 40%. This suggests you're entering before the market has established direction for the week.
TOP IMPROVEMENT 1 — Revenge Trading:
Root cause: Position size is emotionally determined, not mathematically determined
Rule: Position size must be calculated before session, written in journal, and not changed intraday
Measure: Flag any trade where actual size ≠ pre-session planned size
Period: Last 45 trades | Win Rate: 44% | Avg RR: 1.4:1
═══ PERFORMANCE METRICS ═══
Expectancy: (0.44 × 1.4) - (0.56 × 1) = 0.616 - 0.560 = +0.056 per trade
→ POSITIVE EXPECTANCY — you have an edge. The issue is execution consistency, not strategy.
Profit Factor: Gross Profit / Gross Loss = 1.36 (above 1.0 = profitable; above 1.5 = strong)
Max consecutive losses: 6 (occurred in Week 2) — this is within normal variance for 44% win rate
═══ PSYCHOLOGICAL PATTERNS ═══
🔴 REVENGE TRADING DETECTED: After your 6-loss streak (trades 18–23), your average position size increased by 40% in trades 24–26. All three lost. This is the textbook revenge trading pattern.
🟡 PREMATURE EXITS: 7 of your 20 winners were exited before TP. Average achieved RR on winners: 1.4. Average TP target: 2.1. You're leaving 33% of your profit on the table.
🟡 MONDAY BIAS: Your Monday win rate is 28% (4W/10T). Every other day is above 40%. This suggests you're entering before the market has established direction for the week.
TOP IMPROVEMENT 1 — Revenge Trading:
Root cause: Position size is emotionally determined, not mathematically determined
Rule: Position size must be calculated before session, written in journal, and not changed intraday
Measure: Flag any trade where actual size ≠ pre-session planned size
🏆
💡 Pro Tips
Best model for this prompt
Claude
Claude (Opus 4 / Sonnet 4)
Review your journal weekly, not just when you're losing — patterns in winning periods are just as valuable
Categorise each loss: was it a good trade that didn't work (process win) or a bad trade that didn't work (process loss)?
Track not just entries and exits but also what you were thinking when you entered — the psychology data is where the real edge is hidden
Compare your best week to your worst week — the difference is almost never strategy, it's usually patience and position sizing
Only reviewing losing trades — confirmation bias means you'll only see problems, not what's working
Averaging your RR — a 1:1 loss and a 1:3 win don't average to a 1:2 trade psychologically
Changing your strategy based on a single bad week — you need at least 50 trades of data before drawing conclusions
Not dating your trades — without timestamps, time-of-day and day-of-week analysis is impossible
- How many trades do I need before my journal data is meaningful?Statistically, 50 trades gives you a rough signal. 100+ trades gives you reliable data. Under 30 trades, variance dominates — you can't distinguish edge from luck.
- What should I record in a trading journal?Minimum: date, pair, direction, entry, SL, TP, actual exit, result (W/L), and a brief note on why you took the trade. Advanced: screenshot, session, setup type, emotional state, pre-session bias.
- Should I use software or a spreadsheet for my journal?A spreadsheet (Google Sheets or Excel) is the most flexible starting point. MT4/MT5 has built-in trade history export. Dedicated tools like TraderVue or Edgewonk offer automatic import and analytics if you want to scale.
- What's a realistic win rate for a profitable trader?Win rate alone means nothing. A 30% win rate at 1:3 RR is more profitable than a 60% win rate at 1:1 RR. What matters is expectancy = (win% × avg win) - (loss% × avg loss). Positive expectancy = profitable strategy.