I want a dynamic rsi indicator

The modified RSI indicator, designed to adjust its period based on market volatility measured by the Average True Range (ATR), is a custom approach that aims to make the Relative Strength Index (RSI) more adaptive to changing market conditions. Here's a detailed explanation of each component and the overall logic:

Components of the Indicator

Average True Range (ATR)

• Purpose: The ATR is used to measure market volatility. It calculates the range of each candlestick (including gaps) to determine how much an asset's price is moving on average over a given period.
• Calculation: For each period, it takes the maximum of the following three values:
  • The difference between the current high and the current low.
  • The absolute difference between the current high and the previous close.
  • The absolute difference between the current low and the previous close.
• Usage: In this indicator, the ATR serves as the basis for adjusting the RSI period. A higher ATR indicates higher volatility, while a lower ATR suggests lower volatility.

Relative Strength Index (RSI)

• Purpose: The RSI is a momentum oscillator that measures the speed and change of price movements to identify overbought or oversold conditions.
• Standard Calculation: Typically calculated over a 14-period timeframe, it compares the magnitude of recent gains to recent losses to determine overbought or oversold conditions.
• Dynamic Adjustment: Instead of using a fixed period (like 14 days), this custom RSI uses a variable period based on the current market volatility (as measured by the ATR).

Logic for Dynamic Adjustment

Determining the Adjustment Threshold

• Median ATR: The median of the ATR values over the visible chart is calculated to serve as a threshold. This median serves as a benchmark to distinguish between high and low volatility phases.

Adjusting the RSI Period

• High Volatility: When the current ATR is greater than the median ATR multiplied by a predefined threshold ( VolatilityThreshold ), it indicates a high volatility phase. In such phases, the RSI period is increased to MaxRSIPeriod . This means the RSI will consider a larger number of periods for its calculation, which smooths out its fluctuations and potentially filters out market noise, making it less reactive to short-term price changes.
• Low Volatility: Conversely, when the current ATR is below this threshold, it signifies a low volatility phase. The RSI period is decreased to MinRSIPeriod , making the RSI more sensitive to recent price movements. This adjustment allows the RSI to react more quickly to price changes during stable market conditions.

Advantages of This Approach

• Adaptability: The main advantage of this approach is its adaptability to changing market conditions. By adjusting the calculation period based on volatility, the RSI can become a more versatile tool for traders.
• Reduced Noise: During high volatility periods, increasing the RSI period can help reduce the noise in the RSI signals, potentially leading to more reliable indications of overbought or oversold conditions.
• Increased Sensitivity: During low volatility, decreasing the RSI period makes it more sensitive to price movements, which could help capture shorter-term trading opportunities.

Implementation Notes

• Customization: The MinRSIPeriod , MaxRSIPeriod , and VolatilityThreshold are input parameters that can be customized based on individual trading strategies or asset characteristics.  results to optimize performance.
• Median Calculation: The median ATR is used to set a benchmark for volatility. This method helps in making the adjustment threshold less sensitive to extreme values, providing a more stable reference point for volatility assessment.