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已更新 PpSignal Non lag ALMA

The zero lag exponential moving average (ZLEMA) indicator was created by John Ehlers and Ric Way.[1]
As is the case with the double exponential moving average (DEMA) and the triple exponential moving average (TEMA) and as indicated by the name, the aim is to eliminate the inherent lag associated to all trend following indicators which average a price over time.
The formula for a given N-Day period and for a given data series is:[2][3]
{\displaystyle {\textit {Lag}}={(Period-1)/2}} {\textit {Lag}}={(Period-1)/2}
{\displaystyle {\textit {EmaData}}={Data+(Data-Data(Lagdaysago))}} {\displaystyle {\textit {EmaData}}={Data+(Data-Data(Lagdaysago))}}
{\displaystyle {\textit {ZLEMA}}={EMA(EmaData,Period)}} {\textit {ZLEMA}}={EMA(EmaData,Period)}
The idea is do a regular exponential moving average (EMA) calculation but on a de-lagged data instead of doing it on the regular data. Data is de-lagged by removing the data from "lag" days ago thus removing (or attempting to) the cumulative effect of the moving average.
we use alma ma for calculate this script
As is the case with the double exponential moving average (DEMA) and the triple exponential moving average (TEMA) and as indicated by the name, the aim is to eliminate the inherent lag associated to all trend following indicators which average a price over time.
The formula for a given N-Day period and for a given data series is:[2][3]
{\displaystyle {\textit {Lag}}={(Period-1)/2}} {\textit {Lag}}={(Period-1)/2}
{\displaystyle {\textit {EmaData}}={Data+(Data-Data(Lagdaysago))}} {\displaystyle {\textit {EmaData}}={Data+(Data-Data(Lagdaysago))}}
{\displaystyle {\textit {ZLEMA}}={EMA(EmaData,Period)}} {\textit {ZLEMA}}={EMA(EmaData,Period)}
The idea is do a regular exponential moving average (EMA) calculation but on a de-lagged data instead of doing it on the regular data. Data is de-lagged by removing the data from "lag" days ago thus removing (or attempting to) the cumulative effect of the moving average.
we use alma ma for calculate this script
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此腳本以閉源形式發佈。 不過,您可以自由且不受任何限制地使用它 — 在此處了解更多資訊。
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。