Sequential SMT (QT)

📊 Sequential SMT (Quarterly Theory)

Smart Money Divergences Across Time Quarters

This indicator identifies Sequential SMT patterns - divergences between correlated assets across consecutive time periods. When institutional players manipulate one asset while its correlated pair shows strength or weakness, it reveals potential reversals and distribution phases.

⚡ Key Features
Dual-Cycle Detection

• M5 Timeframe: Simultaneously tracks Daily Cycles (6h) AND 90-minute quarters
  
• M1 Timeframe: Simultaneously tracks 90-minute cycles AND 22.5-minute quarters
  
• Both cycle types run concurrently, providing multiple confluence levels
  

Divergence Detection

• SSMT Patterns: Bullish when one asset makes lower low while correlated makes higher low | Bearish when one asset makes higher high while correlated makes lower high
  
• Hidden SSMT: Body-only analysis reveals concealed institutional activity
  

5 Configurable Correlation Pairs
Pre-configured with major correlations:

• BTC/ETH (Crypto leaders)
  
• NQ/ES (Index futures)
  
• EUR/GBP (Forex majors)
  
• Gold/Silver (Precious metals)
  
• Custom pair slot
  

🎯 Visual Components

• Quarter Boxes: Color-coded Q1-Q4 periods showing price ranges
  
• Cycle Frames: Larger timeframe boundaries for context
  
• SSMT Lines: Connect divergence points between quarters
  
• True Opens: TDO (daily) and TSO (session) key levels
  
• Dual Labels: "90m" and "DC" for M5 | "22m" and "90m" for M1
  

💡 Trading Application
SSMT patterns help identify:

• Manipulation zones before distribution
  
• Reversal points at quarter transitions
  
• Directional bias for next 1-3 quarters
  
• High-probability entries when combined with True Opens
  

Best results when divergences occur:

• Bullish below True Open ↗️ | Bearish above True Open ↘️
  
• During high-impact news events 📰
  
• With confluence between both cycle types
  

⚙️ Customization
Toggle individual components, adjust colors, control visual density. Clean or detailed - your choice. Debug panel available for precise analysis.

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Based on Quarterly Theory and Smart Money Concepts. Tracks institutional footprints through correlated market relationships across multiple time cycles.