TrendIndicators

Library "TrendIndicators"
This is a library of 'Trend Indicators'.
It aims to facilitate the grouping of this category of indicators, and also offer the customized supply of
the source, not being restricted to just the closing price.

Indicators (this is a work in progress):

1. Absolute DI (Directional Moviment Index) (Difference between DI+ and DI-).
Used in 'DMI Stochastic Extreme' by Barbara Star.
2. DMI

DI_Abs(lengthDI, smoothDI, typeMA, lengthMA)
  @description Absolute DI (Directional Moviment Index).
Used in 'DMI Stochastic Extreme' by Barbara Star.
Difference between DI+ and DI-
  Parameters:
    lengthDI: (int) Length of DI+/DI-
    smoothDI: (bool) Sets whether absolute DI should be smoothed
    typeMA: (int) Type of moving average of smoothing
    lengthMA: (int) Length for moving average of smoothing
  Returns: (float) Absolute value of DI

dmi(diLength, adxSmoothing)
  @description DMI (Directional Movement Index)
Same as ta.dmi()
  Parameters:
    diLength: (int) Length of DI+/DI-
    adxSmoothing: (int) ADX Smoothing
  Returns: Tuple of three DMI series: Positive Directional
Movement (+DI), Negative Directional Movement (-DI) and Average Directional Movement Index (ADX).

dmi(source, diLength, adxSmoothing)
  @description DMI (Directional Movement Index)
Customized version of ta.dmi(), with custom source
  Parameters:
    source: (float) Source for DI+/DI-
    diLength: (int) Length of DI+/DI-
    adxSmoothing: (int) ADX Smoothing
  Returns: Tuple of three DMI series: Positive Directional
Movement (+DI), Negative Directional Movement (-DI) and Average Directional Movement Index (ADX).

릴리즈 노트:

v2
New overloaded function:
Absolute DI (Directional Moviment Index) with custom source.

릴리즈 노트:

v3
Minor fix