Machine Learning Indexes

3 дня назад

Machine Learning Indexes Script Description

The Machine Learning Indexes script is an advanced Pine Script™ indicator that applies machine learning techniques to analyze various market data types. It enables traders to generate adaptive long and short signals using highly customizable settings for signal detection and analysis.

Key Features:

• Signal Mode: Allows the user to choose between generating signals for "Longs" (buy opportunities) or "Shorts" (sell opportunities).
  
• Index Type: Supports multiple index types including RSI, CCI, MFI, Stochastic, and Momentum. All indexes are normalized between 0-100 for uniformity.
  
• Data Set Selection: Provides options for analyzing Price, Volume, Volatility, or Momentum-based data sets. This enables traders to adapt the script to their preferred market analysis methodology.
  
• Absolute vs. Directional Changes: Includes a toggle to calculate absolute changes for values or maintain directional sensitivity for trend-based analysis.
  
• Dynamic Index Calculation: Automatically calculates and compares multiple index lengths to determine the best fit for current market conditions, adding precision to signal generation.
  

Input Parameters:

• Signal Settings:Signal Mode: Selects between "Longs" or "Shorts" to define the signal direction.
  Index Type: Chooses the type of market index for calculations. Options include RSI, CCI, MFI, Stochastic, and Momentum.
  Data Set Type: Determines the basis of the analysis, such as Price, Volume, Volatility, or Momentum-based data.
  Absolute Change: Toggles whether absolute or directional changes are considered for calculations.
  
• Index Settings:Min Index Length: Sets the base index length used for calculations.
  Index Length Variety: Adjusts the increment steps for variations in index length.
  Lower/Upper Bands: Define thresholds for the selected index, indicating overbought and oversold levels.
  
• Signal Parameters:
  • Target Signal Size: Number of bars used to identify pivot points.
    
  • Backtest Trade Size: Defines the number of bars over which signal performance is measured.
    
  • Sample Size: Number of data points used to calculate signal metrics.
    
  • Signal Strength Needed: Sets the minimum confidence required for a signal to be considered valid.
    
  • Require Low Variety: Option to prioritize signals with lower variability in results.
    

How It Works:

• The script dynamically calculates multiple index variations and compares their accuracy to detect optimal parameters for generating signals.
  
• Signal validation considers the chosen mode (longs/shorts), data set, index type, and signal parameters.
  
• Adaptive moving averages (ADMA) and Band Signals (BS) are plotted to visualize the interaction between market trends and thresholds.
  
• Long and short signals are displayed with clear up (L) and down (S) labels for easy interpretation.
  

Performance Metrics:

• Success Rate: Percentage of valid signals that led to profitable outcomes.
  
• Profit Factor: Ratio of gains from successful trades to losses from unsuccessful trades.
  

Disclaimer:
This indicator is for informational purposes only and does not guarantee future performance. It is designed to support traders in making informed decisions but should be used alongside other analysis methods and risk management strategies.

3 дня назад

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