Moving Average
Moving Average is a statistical technique used in time series analysis to smooth out short-term fluctuations and highlight longer-term trends or cycles. It involves calculating the average of a subset of data points over a sliding window of time. The size of the window can be fixed or variable, depending on the application. Moving averages are commonly used in finance, economics, and engineering to analyze trends in stock prices, economic indicators, and signal processing, respectively. They are also used in machine learning for feature engineering and time series forecasting.
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