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Taking the example of a 200-day simple moving average, you would add up the closing price of the stock over the past 200 trading days and then divide by 200. The other version of this data is the ...
In statistics, a moving average (rolling average or running average or moving mean [1] or rolling mean) is a calculation to analyze data points by creating a series of averages of different selections of the full data set. Variations include: simple, cumulative, or weighted forms. Mathematically, a moving average is a type of convolution.
The faster moving average is a short term moving average. For end-of-day stock markets, for example, it may be 5-, 10- or 25-day period while the slower moving average is medium or long term moving average (e.g. 50-, 100- or 200-day period). A short term moving average is faster because it only considers prices over short period of time and is
Market timing often looks at moving averages such as 50- and 200-day moving averages (which are particularly popular). [6] Some people believe that if the market has gone above the 50- or 200-day average that should be considered bullish, or below conversely bearish. [ 7 ]
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Momentum is the change in an N-day simple moving average (SMA) between yesterday and today, with a scale factor N+1, i.e. + = This is the slope or steepness of the SMA line, like a derivative. This relationship is not much discussed generally, but it's of interest in understanding the signals from the indicator.
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