3D Surface Modeling [PhenLabs]

• Matrix-Based Computation Engine: Processes up to 500 concurrent indicator calculations in real-time
  
• Dynamic 3D Rendering System: Creates depth perception through sophisticated line arrays and color gradients
  
• Multi-Indicator Integration: Seamlessly combines VWAP, Hurst, RSI, Stochastic, CCI, MFI, and Fractal Dimension analyses
  
• Adaptive Scaling Algorithm: Automatically adjusts visualization parameters based on indicator type and market conditions
  

• Indicator Processing Module: Handles real-time calculation of multiple technical indicators using array-based mathematics
  
• 3D Visualization Engine: Converts indicator data into three-dimensional surfaces using line arrays and color mapping
  
• Dynamic Scaling System: Implements custom normalization algorithms for different indicator types
  
• Color Gradient Generator: Creates depth perception through programmatic color transitions
  

• Multi-Indicator Support: Comprehensive analysis across seven different technical indicators
  
• Customizable Visualization: User-defined color schemes and line width parameters
  
• Real-time Processing: Continuous calculation and rendering of 3D surfaces
  
• Cross-Timeframe Analysis: Simultaneous visualization of indicator behavior across multiple periods
  

• Surface Plot: Three-dimensional representation using up to 500 lines with dynamic color gradients
  
• Depth Indicators: Color intensity variations showing indicator value magnitude
  
• Pattern Recognition: Visual identification of market structures across multiple timeframes
  

• Type: VWAP, Hurst, RSI, Stochastic, CCI, MFI, Fractal Dimension
  Default: VWAP
  
• Starting Length: Minimum 5 periods
  Default: 10
  
• Step Size: Interval between calculations
  Range: 1-10
  

• Color Scheme: Green, Red, Blue options
  
• Line Width: 1-5 pixels
  
• Surface Resolution: Up to 500 lines
  

• Multi-timeframe market analysis
  
• Pattern recognition across different technical indicators
  
• Trend strength assessment through 3D visualization
  
• Market behavior study across multiple periods
  

• High computational resource requirements
  
• Maximum 500 line restriction
  
• Requires substantial historical data
  
• Complex visualization learning curve
  

• Calculates selected indicator values across multiple timeframes
  
• Stores results in multi-dimensional arrays
  
• Applies custom scaling algorithms
  

• Creates line arrays for 3D surface representation
  
• Applies color gradients based on value magnitude
  
• Renders real-time updates to surface plot
  

• Synchronizes with chart timeframe
  
• Updates surface plot dynamically
  
• Maintains visual consistency across updates
  

🌟 Credits:
Inspired by LonesomeTheBlue (modified for multiple indicator types with scaling fixes and additional unique mappings)

💡 Note:
Optimal performance requires sufficient computing resources and historical data. Users should start with default settings and gradually adjust parameters based on their analysis requirements and system capabilities.