PINE LIBRARY
MovingAverages

Library "MovingAverages"
vawma(len, src, 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:
len: The number of bars to measure with.
src: The series to measure from. Default is 'hlc3'.
volumeDefault: The default value to use when a chart has no (N/A) volume.
Returns: The volume adjusted triangular weighted moving average of the series.
cma(n, D, C, compound)
Coefficient Moving Avereage (CMA) is a variation of a moving average that can simulate SMA or WMA with the advantage of previous data.
Parameters:
n: The number of bars to measure with.
D: The series to measure from. Default is 'close'.
C: The coefficient to use when averaging. 0 behaves like SMA, 1 behaves like WMA.
compound: When true (default is false) will use a compounding method for weighting the average.
ema(len, src)
Same as ta.ema(src,len) but properly ignores NA values.
Parameters:
len: The number of samples to derive the average from.
src: The series to measure from. Default is 'close'.
wma(len, src, startingWeight)
Same as ta.wma(src,len) but properly ignores NA values.
Parameters:
len: The number of samples to derive the average from.
src: The series to measure from. Default is 'close'.
startingWeight: The weight to begin with when calculating the average. Higher numbers will decrease the bias.
vwma(len, src, volumeDefault)
Same as ta.vwma(src,len) but properly ignores NA values.
Parameters:
len: The number of bars to measure with.
src: The series to measure from. Default is 'hlc3'.
volumeDefault: The default value to use when a chart has no (N/A) volume.
get(type, len, src)
Generates a moving average based upon a 'type'.
Parameters:
type: The type of moving average to generate. Values allowed are: SMA, EMA, WMA, VWMA and VAWMA.
len: The number of bars to measure with.
src: The series to measure from. Default is 'close'.
Returns: The moving average series requested.
vawma(len, src, 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:
len: The number of bars to measure with.
src: The series to measure from. Default is 'hlc3'.
volumeDefault: The default value to use when a chart has no (N/A) volume.
Returns: The volume adjusted triangular weighted moving average of the series.
cma(n, D, C, compound)
Coefficient Moving Avereage (CMA) is a variation of a moving average that can simulate SMA or WMA with the advantage of previous data.
Parameters:
n: The number of bars to measure with.
D: The series to measure from. Default is 'close'.
C: The coefficient to use when averaging. 0 behaves like SMA, 1 behaves like WMA.
compound: When true (default is false) will use a compounding method for weighting the average.
ema(len, src)
Same as ta.ema(src,len) but properly ignores NA values.
Parameters:
len: The number of samples to derive the average from.
src: The series to measure from. Default is 'close'.
wma(len, src, startingWeight)
Same as ta.wma(src,len) but properly ignores NA values.
Parameters:
len: The number of samples to derive the average from.
src: The series to measure from. Default is 'close'.
startingWeight: The weight to begin with when calculating the average. Higher numbers will decrease the bias.
vwma(len, src, volumeDefault)
Same as ta.vwma(src,len) but properly ignores NA values.
Parameters:
len: The number of bars to measure with.
src: The series to measure from. Default is 'hlc3'.
volumeDefault: The default value to use when a chart has no (N/A) volume.
get(type, len, src)
Generates a moving average based upon a 'type'.
Parameters:
type: The type of moving average to generate. Values allowed are: SMA, EMA, WMA, VWMA and VAWMA.
len: The number of bars to measure with.
src: The series to measure from. Default is 'close'.
Returns: The moving average series requested.
파인 라이브러리
진정한 트레이딩뷰 정신에 따라 작성자는 이 파인 코드를 오픈 소스 라이브러리로 공개하여 커뮤니티의 다른 파인 프로그래머들이 재사용할 수 있도록 했습니다. 작성자에게 건배! 이 라이브러리는 개인적으로 또는 다른 오픈 소스 출판물에서 사용할 수 있지만, 출판물에서 이 코드를 재사용하는 것은 하우스 룰의 적용을 받습니다.
면책사항
이 정보와 게시물은 TradingView에서 제공하거나 보증하는 금융, 투자, 거래 또는 기타 유형의 조언이나 권고 사항을 의미하거나 구성하지 않습니다. 자세한 내용은 이용 약관을 참고하세요.
파인 라이브러리
진정한 트레이딩뷰 정신에 따라 작성자는 이 파인 코드를 오픈 소스 라이브러리로 공개하여 커뮤니티의 다른 파인 프로그래머들이 재사용할 수 있도록 했습니다. 작성자에게 건배! 이 라이브러리는 개인적으로 또는 다른 오픈 소스 출판물에서 사용할 수 있지만, 출판물에서 이 코드를 재사용하는 것은 하우스 룰의 적용을 받습니다.
면책사항
이 정보와 게시물은 TradingView에서 제공하거나 보증하는 금융, 투자, 거래 또는 기타 유형의 조언이나 권고 사항을 의미하거나 구성하지 않습니다. 자세한 내용은 이용 약관을 참고하세요.