How to Understand AI Performance Scores
Overviewβ
Learn what AI scores mean and how to interpret them for trading improvement.
AI Score Breakdownβ
Overall Score (0-10)β
Your comprehensive trading score:
- 9-10: Elite trader
- 7-8: Good trader
- 5-6: Average performance
- 3-4: Needs significant improvement
- 0-2: Critical issues

Score Componentsβ
1. Pattern Recognition Score (0-10)β
What it Measures:
- Setup identification accuracy
- Entry timing quality
- Pattern success rate
- Signal recognition
High Score Means:
β
Identify good setups
β
Enter at right time
β
Recognize patterns
β
Trade confirmation
Low Score Means:
β Random entries
β Poor timing
β Unclear setups
β Lack of system

2. Risk Management Score (0-10)β
What it Measures:
- Position sizing discipline
- Stop loss usage
- Risk per trade
- Drawdown control
High Score Means:
β
Consistent position sizing
β
Always use stops
β
Controlled risk
β
Quick recovery
Low Score Means:
β Inconsistent sizing
β No stop losses
β Excessive risk
β Large drawdowns
3. Behavioral Score (0-10)β
What it Measures:
- Rule adherence
- Emotional control
- Discipline violations
- Consistency
High Score Means:
β
Follow rules
β
Emotionally stable
β
Disciplined approach
β
Consistent execution
Low Score Means:
β Break rules often
β Emotional trading
β Revenge trades
β Inconsistent behavior

4. Performance Score (0-10)β
What it Measures:
- P&L results
- Win rate
- ROI
- Consistency
High Score Means:
β
Profitable trading
β
Good win rate
β
Positive ROI
β
Consistent results
Low Score Means:
β Losing money
β Low win rate
β Negative ROI
β Erratic results
Score Calculationβ
Weighted Formulaβ
Overall Score =
Pattern (25%) +
Risk (30%) +
Behavioral (25%) +
Performance (20%)
Risk Management weighted highest!

Score Ranges Explainedβ
Elite (9-10)β
π Top 5% of traders
π Exceptional discipline
π Consistent profitability
π Mastered risk management
π Role model for others
Good (7-8)β
π Above average
π Solid foundation
π Room for optimization
π Generally profitable
π Minor improvements needed
Average (5-6)β
π Middle of the pack
π Inconsistent results
π Major improvements possible
π Need focused work
π Breakeven or small profit
Needs Work (3-4)β
β οΈ Below average
β οΈ Significant issues
β οΈ Losing money
β οΈ Poor discipline
β οΈ Immediate action required
Critical (0-2)β
π¨ Bottom 10%
π¨ Major problems
π¨ Large losses
π¨ No system
π¨ Stop and reassess

Score Trendsβ
Track Over Timeβ
- Monthly scores
- Improvement trajectory
- Plateau periods
- Decline alerts
Goal: Upward trend

Sub-Scoresβ
Drill Downβ
Each main score has sub-scores:
Pattern Recognition:
- Entry timing: 8/10
- Setup quality: 7/10
- Signal confirmation: 9/10
Risk Management:
- Position sizing: 6/10
- Stop loss: 9/10
- Drawdown: 7/10

What Affects Scoresβ
Positive Factorsβ
β
Following trading plan
β
Consistent risk management
β
Profitable trades
β
Rule adherence
β
Good setups
β
Emotional control
Negative Factorsβ
β Breaking rules
β No stop losses
β Revenge trading
β Oversized positions
β Random entries
β Emotional decisions
Score vs Realityβ
Important Notesβ
π‘ Score is a guide, not gospel
π‘ Context matters
π‘ Market conditions vary
π‘ Use with other metrics
π‘ Focus on improvement
Improving Your Scoresβ
Action Steps by Scoreβ
For Pattern Score:
- Study setups more
- Wait for confirmation
- Trade fewer, better setups
- Journal entries
For Risk Score:
- Always use stop loss
- Fix position sizing
- Calculate risk beforehand
- Track risk metrics
For Behavioral Score:
- Follow all rules
- No emotional trades
- Use checklist
- Track violations
For Performance Score:
- Improve other 3 scores
- Results will follow
- Focus on process
- Be patient

Benchmark Comparisonsβ
How You Rankβ
Compare to:
- All users (anonymous)
- Your experience level
- Your strategy type
- Time period
Motivation: See where you stand
Quick Tipsβ
- Don't obsess over scores
- Focus on trends
- Improve lowest score first
- Celebrate improvements
- Use as learning tool
- Review monthly
Next Stepsβ
Troubleshootingβ
Score seems wrong? Check data quality
Not updating? Generate new analysis
Too low? Review recommendations
Questions? Check detailed breakdown
Need help? Contact support@tradelyser.com