Neuro RSI by W.ARITASThe 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.
