How to Analyze Tag-Based Performance
Overviewβ
Evaluate performance by trade tags to identify successful setups and patterns.
Stepsβ
1. Navigate to Tag Analysisβ
Go to Reports > Analysis > Tag Performance

2. View Tag Statisticsβ
Shows all tags with:
- Total P&L per tag
- Win rate %
- Trade count
- Average P&L
- Risk-reward ratio

3. Sort Tagsβ
Sort by:
- Total P&L (highest/lowest)
- Win rate (best/worst)
- Trade count (most/least)
- ROI %

4. Analyze Tag Detailsβ
Click tag to see:
- All tagged trades
- Performance breakdown
- Win/loss distribution
- Time-based analysis
- Symbol correlation

Success!β
You're analyzing tag-based performance.
Tag Categoriesβ
Strategy Tagsβ
Examples:
- #breakout
- #reversal
- #momentum
- #meanreversion
Shows: Which strategies work best
Setup Tagsβ
Examples:
- #support
- #resistance
- #trendline
- #pattern
Shows: Best entry setups
Quality Tagsβ
Examples:
- #perfect
- #goodexecution
- #fomo
- #revenge
Shows: Execution quality impact

Best Performing Tagsβ
Top Tagsβ
Tags with:
- Highest P&L
- Best win rate
- Consistent results
- Good R:R
Action: Use these setups more!

Worst Performing Tagsβ
Problem Tagsβ
Tags with:
- Consistent losses
- Low win rate
- Poor execution
- Emotional trades
Action: Avoid or fix these!
Tag Combination Analysisβ
Multiple Tag Analysisβ
How do tags work together?
- #breakout + #volume = ?
- #support + #confirmation = ?
- #fomo + any setup = Usually bad
Find winning combinations.

Tag-Strategy Correlationβ
Link Tags to Strategiesβ
- Which tags align with Strategy A?
- Are you tagging consistently?
- Missing tags on trades?
- Tag taxonomy effective?
Tag Frequencyβ
Usage Analysisβ
- Most used tags
- Underused tags
- Tag diversity
- Consistent tagging?
Tag Evolutionβ
Performance Over Timeβ
- Tag performance trends
- Improving or declining?
- Seasonal patterns
- Learning curve visible?

Tag-Based Insightsβ
What Tags Revealβ
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Your strengths (high-performing tags)
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Your weaknesses (losing tags)
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Emotional patterns (#fomo, #revenge)
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Setup preferences
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Strategy effectiveness
Tag Optimizationβ
Improve Tag Systemβ
Add Tags For:
- Market conditions
- Time of day
- News/events
- Risk levels
- Confidence levels
Clean Up:
- Redundant tags
- Inconsistent naming
- Unused tags
- Merge similar tags

Tag Scorecardβ
Tag Rating Systemβ
Rate each tag:
- π’ Green: Profitable, use more
- π‘ Yellow: Mixed results, optimize
- π΄ Red: Losing, avoid or fix
Behavioral Tagsβ
Track Emotionsβ
- #disciplined vs #emotional
- #patient vs #rushed
- #planned vs #impulsive
- #confident vs #fearful
Emotion-performance correlation?

Tag-Based Rulesβ
Create Trading Rulesβ
Based on tag analysis:
- Only trade #confirmed setups
- Avoid #fomo tagged trades
- Focus on #highprobability tags
- No #revenge trades
Export Tag Analysisβ
Download Reportβ
- Select tags
- Choose date range
- Export metrics
- Excel/CSV format

Quick Tipsβ
- Tag all trades consistently
- Review tag performance monthly
- Focus on proven tags
- Eliminate losing tags
- Use behavioral tags
- Keep tag list manageable
Tag Best Practicesβ
Effective Taggingβ
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Consistent naming
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Clear categories
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Not too many tags
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Meaningful tags
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Regular review
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Update taxonomy
Poor Taggingβ
β Random tags
β Too many tags
β Unclear meaning
β Inconsistent use
β Never reviewed
Next Stepsβ
Troubleshootingβ
No tags showing? Start tagging trades
Stats seem wrong? Check tag application
Missing tags? Create and apply them
Too many tags? Consolidate similar ones
Need help? Contact support@tradelyser.com