RSI: chart overlay

3 oct

This indicator maps RSI thresholds directly onto price. Since the EMA of price aligns with RSI’s 50-line, it draws a volatility-based band around the EMA to reveal levels such as 70 and 30.

By converting RSI values into visible price bands, the overlay lets you see exactly where price would have to move to hit traditional RSI boundaries. These bands adapt in real time to both price movement and market volatility, keeping the classic RSI logic intact while presenting it in the context of price action. This approach helps traders interpret RSI signals without leaving the main chart window.

The calculation uses the same components as the RSI: alternative derivation script: Wilder’s EMA for smoothing, a volatility-based unit for scaling, and a normalization factor. The result is a dynamic band structure on the chart, representing RSI boundary levels in actual price terms.

Key components and calculation breakdown:

1. Wilder’s EMA
   Used as the anchor point for measuring price position.
   

   myEMA = ta.rma(close, Length)

2. Volatility Unit
   Derived from the EMA of absolute close-to-close price changes.
   

   CC_vol = ta.rma(math.abs(close - close[1]), Length)

3. Normalization Factor
   Scales the volatility unit to align with the RSI formula’s structure.
   

   normalization_factor = 1 / (Length - 1)

4. Upper and Lower Boundaries
   Defines price bands corresponding to selected RSI threshold values.
   

   up_b = myEMA + ((upper - 50) / 50) * (CC_vol / normalization_factor)
   down_b = myEMA - ((50 - lower) / 50) * (CC_vol / normalization_factor)

5. Inputs
   • RSI length
     
   • Upper boundary – RSI level above 50
     
   • Lower boundary – RSI level below 50
     
   • ON/OFF toggle for 50-point line (EMA of close prices)
     
   • ON/OFF toggle for overbought/oversold coloring (use with line chart)
     

Interpretation:

• Each band on the chart represents a chosen RSI level.
  
• When price touches a band, RSI is at that threshold.
  
• The distance between moving average and bands adjusts automatically with volatility and your selected RSI length.
  
• All calculations remain fully consistent with standard RSI values.
  

Feedback and code suggestions are welcome, especially regarding implementation efficiency and customization.

7 oct

Notas de prensa

Release Notes:

• Added color pickers for Upper/Lower band, and 50-Point EMA lines.
  
• Added Gradient On/Off option for overbought / oversold fills.
  
• Cleaner Inputs groups.
  
• Fixed typos, improved comments and code readability.
  
• RSI math unchanged; only visual/UI improvements.
  

18 nov

Notas de prensa

• Minor formatting and structural improvements for clarity, readability, and easier maintenance.
  
• Added the max_width variable and renamed several intermediate variables for consistency across the adaptive RSI indicator family.
  

This updates steps 3 and 4 from the original calculation framework.


New calculation:

1. Wilder’s EMA
   Used as the anchor point for measuring price position.
   

   myEMA = ta.rma(close, Length)

2. Volatility Unit
   Derived from the EMA of absolute close-to-close price changes.
   

   CC_vol = ta.rma(math.abs(close - close[1]), Length)

3. Normalization Factor
   Scales the volatility unit to align with the RSI formula’s structure.
   

   normalization_factor = (Length – 1)

4. Max Width
   Represents the maximum mathematically valid channel width around price.
   

   max_width = CC_vol * normalization_factor

5. Upper and Lower Boundaries
   Defines price bands corresponding to selected RSI threshold values.
   

   up_b   = myEMA + (upper - 50) / 50 * max_width
   down_b = myEMA - (50 - lower) / 50 * max_width