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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.
This indicator uses two (or more) moving averages, a slower moving average and a faster moving average. 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).
For example, a 50-day moving average and a 200-day moving average generate unique buy and sell signals that may work in one time frame but not the other. Simple Moving Average (SMA)
For example, the 50-day moving average represents the stock’s average price over the past 50 days of trading. In the case of the 200-day moving average, it shows the stock’s average closing ...
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]
"I would be watching measures of market breadth, including the advance-decline line, the percent of stocks above their 50-day moving average, and new 52-week highs and lows.