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  2. Moving average - Wikipedia

    en.wikipedia.org/wiki/Moving_average

    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.

  3. How Does the the 200-Day Moving Average Affect Me? - AOL

    www.aol.com/finance/does-200-day-moving-average...

    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 ...

  4. Moving average crossover - Wikipedia

    en.wikipedia.org/wiki/Moving_average_crossover

    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

  5. Moving-average model - Wikipedia

    en.wikipedia.org/wiki/Moving-average_model

    In time series analysis, the moving-average model (MA model), also known as moving-average process, is a common approach for modeling univariate time series. [ 1 ] [ 2 ] The moving-average model specifies that the output variable is cross-correlated with a non-identical to itself random-variable.

  6. MACD - Wikipedia

    en.wikipedia.org/wiki/MACD

    Example of historical stock price data (top half) with the typical presentation of a MACD(12,26,9) indicator (bottom half). The blue line is the MACD series proper, the difference between the 12-day and 26-day EMAs of the price. The red line is the average or signal series, a 9-day EMA of the MACD series.

  7. ASML (ASML) Crossed Above the 20-Day Moving Average ... - AOL

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  9. Autoregressive moving-average model - Wikipedia

    en.wikipedia.org/wiki/Autoregressive_moving...

    ARMA is appropriate when a system is a function of a series of unobserved shocks (the MA or moving average part) as well as its own behavior. For example, stock prices may be shocked by fundamental information as well as exhibiting technical trending and mean-reversion effects due to market participants. [citation needed]