PINE LIBRARY
已更新 Ehlers_Super_Smoother

The 2 Pole and 3 Pole Super Smoother Filters were developed by John Ehlers and described in "Chapter 13: Super Smother" of his book Cybernetic Analysis for Stocks and Futures.
The 2 Pole Smoother is described as being a better approximation of price, whereas the 3 Pole Smoother has superior smoothing.
Library "Ehlers_Super_Smoother"
Provides the functions to calculate Double and Triple Exponentional Moving Averages (DEMA & TEMA)
twoPole(_source, _length) Calculates 2 Pole Ehlers Super Smoother Filter
Parameters:
_source: -> Open, Close, High, Low, etc ('close' is used if no argument is supplied)
_length: -> Ehlers Super Smoother length
Returns: 2 Pole Ehlers Super Smoothing to an input source at the specified input length
threePole(_source, _length) Calculates 3 Pole Ehlers Super Smoother Filter
Parameters:
_source: -> Open, Close, High, Low, etc ('close' is used if no argument is supplied)
_length: -> Ehlers Super Smoother length
Returns: 3 Pole Ehlers Super Smoothing to an input source at the specified input length
The 2 Pole Smoother is described as being a better approximation of price, whereas the 3 Pole Smoother has superior smoothing.
Library "Ehlers_Super_Smoother"
Provides the functions to calculate Double and Triple Exponentional Moving Averages (DEMA & TEMA)
twoPole(_source, _length) Calculates 2 Pole Ehlers Super Smoother Filter
Parameters:
_source: -> Open, Close, High, Low, etc ('close' is used if no argument is supplied)
_length: -> Ehlers Super Smoother length
Returns: 2 Pole Ehlers Super Smoothing to an input source at the specified input length
threePole(_source, _length) Calculates 3 Pole Ehlers Super Smoother Filter
Parameters:
_source: -> Open, Close, High, Low, etc ('close' is used if no argument is supplied)
_length: -> Ehlers Super Smoother length
Returns: 3 Pole Ehlers Super Smoothing to an input source at the specified input length
發行說明
v2Corrected "Description", no other changes, v2 will work exactly like v1
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Pine腳本庫
秉持TradingView一貫精神,作者已將此Pine代碼以開源函式庫形式發佈,方便我們社群中的其他Pine程式設計師重複使用。向作者致敬!您可以在私人專案或其他開源發表中使用此函式庫,但在公開發表中重用此代碼須遵守社群規範。
免責聲明
這些資訊和出版物並非旨在提供,也不構成TradingView提供或認可的任何形式的財務、投資、交易或其他類型的建議或推薦。請閱讀使用條款以了解更多資訊。