Neuro RSI by W.ARITAS

The Neuro RSI by W.ARITAS is an advanced and adaptive RSI indicator, tailored for traders seeking precision and innovation in technical analysis. This cutting-edge tool combines the power of traditional RSI calculations with modern technologies like machine learning (LSTM), quantum-inspired algorithms, and advanced filtering techniques such as Kalman filtering and Jurik smoothing.

Unlike standard RSI indicators, Neuro RSI introduces a visually appealing color dimension to aid traders in identifying significant market opportunities. The intuitive color palette enhances interpretability:

• Red or reddish tones signify a strong overbought state, indicating potential corrections.
  
• Blue-to-purple tones highlight a mid-state, often associated with consolidation.
  
• Green and yellow tones indicate an oversold state, suggesting a possible market reversal.
  

This adaptive approach dynamically adjusts to market conditions and translates insights into an easy-to-read color-coded representation.

Key Features

• Machine Learning Integration (LSTM):
• Refines oscillator predictions using LSTM neural networks.
  
• Provides adaptive feedback and dynamic signal adjustments based on live market data.
  
• Quantum-Inspired Calculations:
• Leverages Fibonacci-based weighting, wavelet transforms, and amplitude modulation.
  
• Generates a refined Probability RSI (PRSI) cloud to visualize market volatility and momentum.
  
• Advanced Filtering Techniques:
• Kalman filtering reduces noise for clearer signals.
  
• Jurik smoothing ensures stable and responsive trend analysis.
  
• Dynamic Adaptation:
• Reacts to changes in market volatility and sensitivity thresholds.
  
• Fully customizable to suit diverse trading strategies and instruments.
  
• Intuitive Visualization:
• Gradient-filled RSI and PRSI clouds make trend identification effortless.
  
• Clearly defined overbought/oversold boundaries with color fills for quick decision-making.
  

How to Use

Trading Signals:
Utilize the PRSI curve and RSI Cloud to identify overbought/oversold levels and momentum shifts.Rely on gradient colors to visually interpret the strength of market states.

Customizable Inputs:
Adjust smoothing, oscillator frequency, and sensitivity thresholds for specific trading setups.
Advanced users can fine-tune machine learning parameters, including LSTM learning rate, units, and wavelet bands.

Risk Management:
Integrate the Neuro RSI with your trading strategy to confirm entry/exit points.
Leverage built-in support and resistance levels to enhance risk assessment.

Inputs
General Settings:

• Source: Select the data input (e.g., volume, close price).
  
• Smoothing Length: Adjust the level of curve smoothing.
  

Algorithm Settings:

• Dynamic sensitivity, oscillator frequency, and Kalman filter parameters for deeper customization.
  

ML Model Settings:

• Configure LSTM learning rate, units, and wavelet bands for precision optimization.