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
版本注释
v2Corrected "Description", no other changes, v2 will work exactly like v1
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Pine脚本库
秉承TradingView的精神,作者已将此Pine代码作为开源库发布,以便我们社区的其他Pine程序员可以重用它。向作者致敬!您可以私下或在其他开源出版物中使用此库,但在出版物中重用此代码须遵守网站规则。
免责声明
这些信息和出版物并非旨在提供,也不构成TradingView提供或认可的任何形式的财务、投资、交易或其他类型的建议或推荐。请阅读使用条款了解更多信息。