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How to Analyze Tag-Based Performance

Overview​

Evaluate performance by trade tags to identify successful setups and patterns.

Steps​

1. Navigate to Tag Analysis​

Go to Reports > Analysis > Tag Performance

Screenshot: Tag analysis menu

2. View Tag Statistics​

Shows all tags with:

  • Total P&L per tag
  • Win rate %
  • Trade count
  • Average P&L
  • Risk-reward ratio

Screenshot: Tag statistics

3. Sort Tags​

Sort by:

  • Total P&L (highest/lowest)
  • Win rate (best/worst)
  • Trade count (most/least)
  • ROI %

Screenshot: Sorted tags

4. Analyze Tag Details​

Click tag to see:

  • All tagged trades
  • Performance breakdown
  • Win/loss distribution
  • Time-based analysis
  • Symbol correlation

Screenshot: Tag details

Success!​

You're analyzing tag-based performance.

Tag Categories​

Strategy Tags​

Examples:

  • #breakout
  • #reversal
  • #momentum
  • #meanreversion

Shows: Which strategies work best

Setup Tags​

Examples:

  • #support
  • #resistance
  • #trendline
  • #pattern

Shows: Best entry setups

Quality Tags​

Examples:

  • #perfect
  • #goodexecution
  • #fomo
  • #revenge

Shows: Execution quality impact

Screenshot: Tag categories

Best Performing Tags​

Top Tags​

Tags with:

  • Highest P&L
  • Best win rate
  • Consistent results
  • Good R:R

Action: Use these setups more!

Screenshot: Best tags

Worst Performing Tags​

Problem Tags​

Tags with:

  • Consistent losses
  • Low win rate
  • Poor execution
  • Emotional trades

Action: Avoid or fix these!

Tag Combination Analysis​

Multiple Tag Analysis​

How do tags work together?

  • #breakout + #volume = ?
  • #support + #confirmation = ?
  • #fomo + any setup = Usually bad

Find winning combinations.

Screenshot: Tag combinations

Tag-Strategy Correlation​

  • Which tags align with Strategy A?
  • Are you tagging consistently?
  • Missing tags on trades?
  • Tag taxonomy effective?

Tag Frequency​

Usage Analysis​

  • Most used tags
  • Underused tags
  • Tag diversity
  • Consistent tagging?

Tag Evolution​

Performance Over Time​

  • Tag performance trends
  • Improving or declining?
  • Seasonal patterns
  • Learning curve visible?

Screenshot: Tag trends

Tag-Based Insights​

What Tags Reveal​

βœ… Your strengths (high-performing tags)
βœ… Your weaknesses (losing tags)
βœ… Emotional patterns (#fomo, #revenge)
βœ… Setup preferences
βœ… Strategy effectiveness

Tag Optimization​

Improve Tag System​

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

Screenshot: Tag management

Tag Scorecard​

Tag Rating System​

Rate each tag:

  • 🟒 Green: Profitable, use more
  • 🟑 Yellow: Mixed results, optimize
  • πŸ”΄ Red: Losing, avoid or fix

Behavioral Tags​

Track Emotions​

  • #disciplined vs #emotional
  • #patient vs #rushed
  • #planned vs #impulsive
  • #confident vs #fearful

Emotion-performance correlation?

Screenshot: Behavioral tags

Tag-Based Rules​

Create Trading Rules​

Based on tag analysis:

  • Only trade #confirmed setups
  • Avoid #fomo tagged trades
  • Focus on #highprobability tags
  • No #revenge trades

Export Tag Analysis​

Download Report​

  1. Select tags
  2. Choose date range
  3. Export metrics
  4. Excel/CSV format

Screenshot: Export tags

Quick Tips​

  • Tag all trades consistently
  • Review tag performance monthly
  • Focus on proven tags
  • Eliminate losing tags
  • Use behavioral tags
  • Keep tag list manageable

Tag Best Practices​

Effective Tagging​

βœ… Consistent naming
βœ… Clear categories
βœ… Not too many tags
βœ… Meaningful tags
βœ… Regular review
βœ… Update taxonomy

Poor Tagging​

❌ Random tags
❌ Too many tags
❌ Unclear meaning
❌ Inconsistent use
❌ Never reviewed

Next Steps​

Troubleshooting​

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