Moving Average (MA) is a statistical method used to analyze data points by creating averages of different subsets of the data. This technique helps in smoothing out short-term fluctuations and highlighting longer-term trends or cycles. MA is particularly useful in time series forecasting, where it aids in predicting future values based on past data by reducing noise and making patterns more visible.
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