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Pattern Recognition

AI automatically detects your trading mistakes and surfaces your most profitable patterns — so you stop repeating the bad ones and do more of the good ones.

1

Understanding Pattern Recognition

Review historical pattern candidates alongside your recorded outcomes.

How to access

  1. 1Navigate to Pattern Recognition from the sidebar
  2. 2View the Overview tab for key insights
  3. 3Explore specific tabs: Mistakes, Success, Streaks, Time, Duration
  4. 4Inspect the contributing trades before acting on a recommendation
  5. 5Track improvements over time
2

Mistake Detection

Review possible trading behaviour patterns. A loss or rapid re-entry does not by itself establish a mistake.

What gets detected

  • FOMO Detection: Quick entries after missing moves
  • Revenge Trading: Trades after losses with increased size
  • Overtrading: Excessive trading days resulting in losses
  • Severity levels: Low, Medium, High, Critical
  • Confidence labels describe the available evidence, not a verified accuracy rate
  • Actionable advice to avoid repeating each mistake
3

Success Patterns

Compare historically profitable groups while checking sample sizes and net results.

What gets surfaced

  • Best setup types (minimum 5 occurrences, 60%+ win rate)
  • Optimal trading hours based on your actual performance
  • Top-performing symbols and instruments
  • Winning market conditions unique to your style
  • Profit factor and win rate metrics per pattern
  • Confidence scores so you know which patterns are statistically reliable
4

Behavioral Streaks

Tracks winning and losing streaks with full impact analysis on what comes after.

Streak tracking features

  • Current active streaks (winning or losing)
  • Historical streak analysis across your full trading history
  • Streak length and total P&L for each streak period
  • Impact on subsequent trades — does a winning streak make you overconfident?
  • Alerts for critical losing streaks before they get worse
  • Performance during and after streaks for full context
5

Time-Based Analysis

Discover exactly which hours and days you trade best — and which ones to avoid.

Time performance breakdown

  • Hourly performance heatmap across all your trades
  • Day-of-week performance breakdown (Mon–Fri)
  • Best and worst trading hours clearly identified
  • Trade count and win rate for every hour slot
  • Visual heatmap representation for instant pattern recognition
  • Specific recommendations for optimal trading windows
6

Duration Analysis

Find your optimal trade holding periods — are you better as a scalper, day trader, or swing trader?

Duration categories analysed

  • Scalp (0–5 min): performance metrics for ultra-short trades
  • Intraday (5 min – 4 hours): your standard day trade performance
  • Day Trade (4 hours – 1 day): performance for longer intraday holds
  • Swing (1–7 days): multi-day position performance
  • Position (7+ days): longer-term trade outcomes
  • Win rate and P&L by each duration category — find your real edge

Start detecting your trading patterns

Requires at least 20 closed trades for meaningful pattern analysis.