Trendchange Zones Indicator | iSolani

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Spotting Reversals Before They Happen: The iSolani Trendshift System
Where RSI Meets Smart Volume Analysis - Your Visual Guide to Market Turns

Core Methodology

• RSI-Powered Zones
  Identifies critical levels using:
  14-period RSI (default) with 70/30 thresholds
  Semi-transparent boxes marking overbought (red) and oversold (green) territories
  Zone persistence until RSI returns to neutral range
  
• Dynamic Level Tracking
  Plots evolving support/resistance using:
  Pivot highs/lows with 15-bar lookback (default)
  Auto-extending lines that adapt to new price extremes
  
• Volume-Confirmed Breakouts
  Flags significant moves with:
  
  1. 5/10 EMA volume oscillator
     
  2. 20% volume threshold (default) for confirmation
     

Technical Innovation

• Three-Layer Confirmation
  Unique combination of:
  Classic RSI extremes
  Price structure through pivot points
  Volume-fueled momentum shifts
  
• Adaptive Visualization
  1. Zones maintain historical context at 33% transparency
     
  2. Dynamic lines extend indefinitely until invalidated
     
  3. Discreet labels for breakout events
     

System Workflow

1. Calculates RSI values in real-time
   
2. Draws colored zones when RSI crosses 70/30
   
3. Marks pivot points every 15 bars (default)
   
4. Updates support/resistance lines on new pivots
   
5. Triggers alerts when price breaks levels with volume confirmation
   

Standard Configuration

1. RSI Settings: 14-period length
   
2. Pivot Detection: 15-bar left/right lookback
   
3. Visuals: 33% transparency zones with thin borders
   
4. Volume Threshold: 20% oscillator difference
   
5. Alerts: Breakout signals with "B" labels
   

This system transforms the classic RSI into a spatial analysis tool - not just showing when markets are overextended, but where they're likely to reverse. The dynamic lines act as moving barriers that adapt to market structure, while the volume filter ensures only high-conviction breaks get flagged. By layering momentum, price action, and volume dynamics, it creates a multi-spectrum view of potential trend changes.

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