OPEN-SOURCE SCRIPT
SMAs (14,21,50,100) by Shabi
Definition
This is the Simple moving average of 14, 21, 50, 100) . Simple Moving Average (SMA) is a price based, lagging (or reactive) indicator that displays the average price of a security over a set period of time. A Moving Average is a good way to gauge momentum as well as to confirm trends, and define areas of support and resistance. Essentially, Moving Averages smooth out the “noise” when trying to interpret charts. Noise is made up of fluctuations of both price and volume. Because a Moving Average is a lagging indicator and reacts to events that have already happened, it is not used as a predictive indicator but rather an interpretive one, used for confirmations and analysis.
Simple Moving Average is an unweighted Moving Average. This means that each day in the data set has equal importance and is weighted equally. As each new day ends, the oldest data point is dropped and the newest one is added to the beginning.
It must be taken into account that, while SMA helps filter out the noise and see the general direction in which the symbol has been moving, it is also slow to react to newer changes. The higher the SMA length is, the longer it will take for a major price change to be notably reflected in it.
CALCULATION
A Simple Moving Average with the length of X is a sum of last X values divided by X. Here is an example calculation of an SMA with the length of 3:
Sum of Period Values / Number of Periods
Closing Prices to be used: 5, 6, 7, 8, 9
First Day of 3 Period SMA: (5 + 6 + 7) / 3 = 6
Second Day of 3 Period SMA: (6 + 7 + 8) / 3 = 7
Third Day of 3 Period SMA: (7 + 8 + 9) /3 = 8
This is the Simple moving average of 14, 21, 50, 100) . Simple Moving Average (SMA) is a price based, lagging (or reactive) indicator that displays the average price of a security over a set period of time. A Moving Average is a good way to gauge momentum as well as to confirm trends, and define areas of support and resistance. Essentially, Moving Averages smooth out the “noise” when trying to interpret charts. Noise is made up of fluctuations of both price and volume. Because a Moving Average is a lagging indicator and reacts to events that have already happened, it is not used as a predictive indicator but rather an interpretive one, used for confirmations and analysis.
Simple Moving Average is an unweighted Moving Average. This means that each day in the data set has equal importance and is weighted equally. As each new day ends, the oldest data point is dropped and the newest one is added to the beginning.
It must be taken into account that, while SMA helps filter out the noise and see the general direction in which the symbol has been moving, it is also slow to react to newer changes. The higher the SMA length is, the longer it will take for a major price change to be notably reflected in it.
CALCULATION
A Simple Moving Average with the length of X is a sum of last X values divided by X. Here is an example calculation of an SMA with the length of 3:
Sum of Period Values / Number of Periods
Closing Prices to be used: 5, 6, 7, 8, 9
First Day of 3 Period SMA: (5 + 6 + 7) / 3 = 6
Second Day of 3 Period SMA: (6 + 7 + 8) / 3 = 7
Third Day of 3 Period SMA: (7 + 8 + 9) /3 = 8
開源腳本
在真正的TradingView精神中，這個腳本的作者以開源的方式發佈，這樣交易員可以理解和驗證它。請向作者致敬！您可以免費使用它，但在出版物中再次使用這段程式碼將受到網站規則的約束。 您可以收藏它以在圖表上使用。
想在圖表上使用此腳本？
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。