Orderblocks | iSolani

21 Feb

Revealing Institutional Footprints: The iSolani Volume-Powered Order Block System
Where Smart Money Leaves Its Mark – Automated Zone Detection for Discretionary Traders

Core Methodology

• Pressure-Weighted Volume Analysis
  Calculates directional commitment using candle position:
  Buying Pressure = Total Volume × (Closing Price – Low) / (High – Low)
  Selling Pressure = Total Volume × (High – Closing Price) / (High – Low)
  
  Normalizes values against 31-period EMAs to filter retail noise
  
  
• Adaptive Block Triggering
  Identifies significant zones when:
  Absolute Buy/Sell Difference > 4× SMA of Historical Differences (default)
  Price closes bullishly (green block) or bearishly (red block)
  
• Self-Maintaining Visualization
  1. Blocks auto-extend rightward until price breaches critical level
     
  2. Invalidated zones removed in real-time via array management
     
  Technical Innovation
  • Dynamic Threshold Adjustment
    Multiplier parameter (default 4) automatically scales with market volatility
    
    
  • Institutional-Grade Metrics
    Blocks display:
    Volume disparity in absolute terms
    Percentage deviation from 33-period average
    Directional bias through color-coding
    
  • Efficient Memory Handling
    O(n) complexity cleanup routine prevents chart lag
    
  System Workflow
  1. Calculates real-time buy/sell pressure ratios
     
  2. Compares to historical average (31-period default)
     
  3. Generates semi-transparent zones (85% opacity) at spike locations
     
  4. Monitors price interaction with block boundaries
     
  5. Automatically retracts invalid zones
     
  Standard Configuration
  1. Sensitivity: 4× multiplier (ideal for 15m-4h charts)
     
  2. Visuals: Red/green blocks with white text labels
     
  3. Duration: 50-bar default extension
     
  4. Volume Baseline: 33-period EMA filter
     
  5. Boundary Check: Close beyond block high/low triggers deletion
     
  
  
  This system transforms raw market data into a institutional roadmap – not by predicting turns, but by revealing where concentrated volume makes turns statistically probable. The color-coded blocks serve as persistent yet adaptive markers of where professional liquidity resides.

21 Feb

Catatan Rilis

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21 Apr

Catatan Rilis

Update!