Library_Smoothers

CorrectedMA(Src, Len)
CorrectedMA The strengths of the corrected Average (CA) is that the current value of the time series must exceed a the current volatility-dependent threshold, so that the filter increases or falls, avoiding false signals when the trend is in a weak phase.
Parameters:
Src
Len
Returns: The Corrected source.
EHMA(src, len)
EMA Exponential Moving Average.
Parameters:
src: Source to act upon
len
Returns: EMA of source
FRAMA(src, len, FC, SC)
FRAMA Fractal Adaptive Moving Average
Parameters:
src: Source to act upon
len: Length of moving average
FC: Fast moving average
SC: Slow moving average
Returns: FRAMA of source
Jurik(src, length, phase, power)
Jurik A low lag filter
Parameters:
src: Source
length: Length for smoothing
phase: Phase range is ±100
power: Mathematical power to use. Doesn't need to be whole numbers
Returns: Jurik of source
SMMA(src, len)
SMMA Smoothed moving average. Think of the SMMA as a hybrid of its better-known siblings — the simple moving average (SMA) and the exponential moving average (EMA).
Parameters:
src: Source
len
Returns: SMMA of source
SuperSmoother(src, len)
SuperSmoother
Parameters:
src: Source to smooth
len
Returns: SuperSmoother of the source
TMA(src, len)
TMA Triangular Moving Average
Parameters:
src: Source
len
Returns: TMA of source
TSF(src, len)
TSF Time Series Forecast. Uses linear regression.
Parameters:
src: Source
len
Returns: TSF of source
VIDYA(src, len)
VIDYA Chande's Variable Index Dynamic Average. See fxcorporate.com/help/MS/NOTFIFO/i_Vidya.html
Parameters:
src: Source
len
Returns: VIDYA of source
VAWMA(src, len, startingWeight, volumeDefault)
VAWMA = VWMA and WMA combined. Simply put, this attempts to determine the average price per share over time weighted heavier for recent values. Uses a triangular algorithm to taper off values in the past (same as WMA does).
Parameters:
src: Source
len: Length
startingWeight
volumeDefault: The default value to use when a chart has no volume.
Returns: The VAWMA of the source.
WWMA(src, len)
WWMA Welles Wilder Moving Average
Parameters:
src: Source
len
Returns: The WWMA of the source
ZLEMA(src, len)
ZLEMA Zero Lag Expotential Moving Average
Parameters:
src: Source
len
Returns: The ZLEMA of the source
SmootherType(mode, src, len, fastMA, slowMA, offset, phase, power, startingWeight, volumeDefault, Corrected)
Performs the specified moving average
Parameters:
mode: Name of moving average
src: the source to apply the MA type
len
fastMA: FRAMA fast moving average
slowMA: FRAMA slow moving average
offset: Linear regression offset
phase: Jurik phase
power: Jurik power
startingWeight: VAWMA starting weight
volumeDefault: VAWMA default volume
Corrected
Returns: The MA smoothed source
Code 9
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Biblioteca Pine
Siguiendo fielmente el espíritu de TradingView, el autor ha publicado este código Pine como una biblioteca de código, permitiendo que otros programadores de Pine en nuestra comunidad puedan volver a utilizarlo. ¡Un brindis por el autor! Puede utilizar esta biblioteca de forma privada o en otras publicaciones de código abierto, pero tenga en cuenta que la reutilización de este código en publicaciones se rige por las Normas internas.