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Moving Average Functions
Provides moving average functions. Often used to track trend, levels of support, breakouts, etc… The results are in the same scale as input data and are often used as a signal line for input data.
Enums§
- MaMode
- Moving average types
Functions§
- alma
- Arnaud Legoux Moving Average (ALMA)
- dema
- Double Exponential Moving Average
- ewma
- Exponentially Weighted Moving Average
- frama
- Fractal Adaptive Moving Average
- fwma
- Fibonacci’s Weighted Moving Average
- hull
- Hull’s Moving Average
- hwma
- Holt-Winter Moving Average
- kama
- Kaufman Adaptive Moving Average (KAMA)
- kernel
- Kernel Regression
- lrf
- Linear Regression Forecast (aka Time Series Forecast aka Least Squares Moving Average)
- ma
- Generic function to “dynamically” select moving average algorithm
- mama
- MESA Adaptive Moving Average
- mdma
- McGinley Dynamic Moving Average
- pwma
- Pascal’s Triangle Moving Average
- sma
- Simple Moving Average
- ssf
- Ehler’s Super Smoother Filter
- t3
- T3 Moving Average
- tema
- Triple Exponential Moving Average
- trima
- Triangular moving average
- vidya
- Volatility Index Dynamic Average (VIDYA)
- vma
- Variable Moving Average (VMA)
- wilder
- Welles Wilder’s Moving Average (aka Smoothed MA aka Running MA)
- wma
- Weighted Moving Average
- zlma
- Zero Lag moving average