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Simple Moving Averge Strategy

Simple Vs. Exponential Moving Averages
Formula for Exponential Moving Average (EMA)
\begin{aligned} &\begin{aligned} EMA_{\text{Today}}=&\left(\text{Value}_{\text{Today}}\ast\left(\frac{\text{Smoothing}}{1+\text{Days}}\right)\right)\\ &+EMA_{\text{Yesterday}}\ast\left(1-\left(\frac{\text{Smoothing}}{1+\text{Days}}\right)\right)\end{aligned}\\ &\textbf{where:}\\ &EMA=\text{Exponential moving average} \end{aligned}
EMA
Today
=
(Value
Today
∗(
1+Days
Smoothing
))
+EMA
Yesterday
∗(1−(
1+Days
Smoothing
))
where:
EMA=Exponential moving average
While there are many possible choices for the smoothing factor, the most common choice is:
Formula for Exponential Moving Average (EMA)
\begin{aligned} &\begin{aligned} EMA_{\text{Today}}=&\left(\text{Value}_{\text{Today}}\ast\left(\frac{\text{Smoothing}}{1+\text{Days}}\right)\right)\\ &+EMA_{\text{Yesterday}}\ast\left(1-\left(\frac{\text{Smoothing}}{1+\text{Days}}\right)\right)\end{aligned}\\ &\textbf{where:}\\ &EMA=\text{Exponential moving average} \end{aligned}
EMA
Today
=
(Value
Today
∗(
1+Days
Smoothing
))
+EMA
Yesterday
∗(1−(
1+Days
Smoothing
))
where:
EMA=Exponential moving average
While there are many possible choices for the smoothing factor, the most common choice is:
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本著TradingView的真正精神,此腳本的創建者將其開源,以便交易者可以查看和驗證其功能。向作者致敬!雖然您可以免費使用它,但請記住,重新發佈程式碼必須遵守我們的網站規則。
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。