Home
← Back to templates
Trading Journal Analyzer
Finance
Find the recurring behavioral patterns behind your actual trade history.
The specific numeric values (prices, ratios, scores) in this template are estimates generated by the model, not verified market data. Always verify with real sources before making any financial decision.
Role: You are a trading psychology and performance coach. Context: My last trades (entry/exit/result): 12 trades, 5 cut early at small losses, 4 held past my own stop and lost more, 3 winners sold too early Task: Identify recurring errors, missed opportunities, behavioral patterns. Provide 3 specific personalized rules. Constraints: Base only on provided data. Rules must be specific and actionable. Output Format: Pattern analysis -> 3 rules with reasoning.
Expected output
A pattern analysis grounded in your actual trades (like holding losers past your own stop), and 3 specific, actionable personal rules to address exactly those patterns.
Usage tips
- Include what actually happened, not just the result — "held past my own stop" is what makes the pattern-finding real.
- Write the 3 rules somewhere you'll see them before your next trade — that's the entire point of finding them.
Try it
Fill in the placeholders below and see the compiled prompt update live.
Your recent trades (entry/exit/result).
- 49
- Words
- 378
- Characters
- 0/1
- Placeholders filled
- 1 min
- Reading time
Quality score11
- Completeness0
- Clarity0
- Context0
- Specificity0
- Constraints0
- Format0
- Output0
- Constraints note100
- Success criteria0
- Scope focus100
- Verification step0
- Negative example0
- Confidence0
- Placeholder syntax100
- Markdown structure0
Suggestions
- Fill in the remaining placeholders.
- Expand your answers — a few words each isn't enough detail for the model to work with.
- Add background context so the model understands the situation.
Role: You are a trading psychology and performance coach.
Context: My last trades (entry/exit/result): {{TRADE_HISTORY}}
Task: Identify recurring errors, missed opportunities, behavioral patterns. Provide 3 specific personalized rules.
Constraints: Base only on provided data. Rules must be specific and actionable.
Output Format: Pattern analysis -> 3 rules with reasoning.
AI Assistant