PINE LIBRARY
已更新 MovingAverages

Library "MovingAverages"
Contains utilities for generating moving average values including getting a moving average by name and a function for generating a Volume-Adjusted WMA.
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:
Returns: The volume adjusted triangular weighted moving average of the series.
getMA(mode, len, src) Generates a moving average based upon a 'mode'.
Parameters:
Returns: The volume adjusted triangular weighted moving average of the series.
Contains utilities for generating moving average values including getting a moving average by name and a function for generating a Volume-Adjusted WMA.
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.
getMA(mode, len, src) Generates a moving average based upon a 'mode'.
Parameters:
- mode: 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 volume adjusted triangular weighted moving average of the series.
發行說明
Library "MovingAverages"Contains utilities for generating moving average values including getting a moving average by name and a function for generating a Volume-Adjusted WMA.
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.
getMA(mode, len, src) Generates a moving average based upon a 'mode'.
Parameters:
- mode: 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 volume adjusted triangular weighted moving average of the series.
發行說明
v3- Revised to use .get() as prefix will always be present.
- Switched to switch statement with runtime error.
- Migrated to single quote standard.
Added:
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.
Removed:
getMA(mode, len, src) Generates a moving average based upon a 'mode'.
發行說明
v4 Added CMAAdded:
cma(n, D, C, compound) CMA is a variation of a moving average that can simulate SMA or WMA with the advantage of previous data. ifta.org/wp-content/uploads/2020/10/d_ifta_journal_21.pdf
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.
發行說明
v5 More robust and flexible VAWMA calculation.Updated:
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.
發行說明
v6 Improved robustness of moving averages and included alternates for ema, wma, and vwma.Added:
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.
發行說明
v7 Fixed plot titles.發行說明
v8 Simplified ema calculation.發行說明
v9 Removed need for for loop from vwma.發行說明
v10 Improved ema and vmwa to be more resilient.發行說明
v11Added:
rsvwma(transferRatio, releaseRatio, useTime, src, vol)
This is experimental moving average doesn't use a period/length but instead buffers the price per share and transfers that price per share at a given ratio per bar while also releasing the previous values at a decay ratio.
Parameters:
transferRatio: The ratio at which buffered data is applied to the average.
releaseRatio: The ratio at which data is released from the average.
useTime: When true will tend to make the values consistent across timeframes.
src: The series to measure from. Default is 'hlc3'.
vol: The series to represent volume. The default is 'volume'.
發行說明
v12 Fix NA handling of rsvwma發行說明
v13 Added normalizeSlope function.發行說明
v14 Modernized to Pine Script v6 with and added the following function.Added:
normalizeSlope(source, mLen, slopeLen)
The slope of the source (change over time) is measured over the mLen to determine what is considered 'normal'. A positive value less than 1 is considered within 1 standard deviation. A value less than 2 is within 2 standard deviations and so-on. This allows for the slope of a value to be standardized regardless of the symbol.
Parameters:
source (float): The series (typically a moving average) to meaasue the slope.
mLen (simple int)
slopeLen (simple int): The number of bars to measure the slope. A higher number will smooth out the curve.
Returns: The nromalized value of the slope.
發行說明
v15 Added missing overloadUpdated:
get(type, len, src)
Generates a moving average based upon a 'type' (enum overload).
Parameters:
type (simple Type): The type of moving average to generate as a Type enum. Values allowed are: Type.SMA, Type.EMA, Type.WMA, Type.VWMA, Type.VAWMA, Type.CMA.
len (simple int): The number of bars to measure with.
src (float): The series to measure from. Default is 'close'.
Returns: The moving average series requested.
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Pine腳本庫
秉持 TradingView 一貫的共享精神,作者將此 Pine 程式碼發佈為開源庫,讓社群中的其他 Pine 程式設計師能夠重複使用。向作者致敬!您可以在私人專案或其他開源發佈中使用此庫,但在公開發佈中重複使用該程式碼需遵守社群規範。
免責聲明
這些資訊和出版物並不意味著也不構成TradingView提供或認可的金融、投資、交易或其他類型的意見或建議。請在使用條款閱讀更多資訊。