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Moving Averages - Simple and Exponential [ChartSchool] - StockCharts.com
What Is a Moving Average? A moving average is an average of data points (usually price) for a specific time period. Why is it called “moving”? That's because each data point is calculated using data from the previous X periods. Because it averages prior data, moving averages smooth the price data to form a trend-following indicator.
The Comprehensive Guide to Moving Averages in Time Series Analysis
Moving averages are a fundamental tool in time series analysis and they are widely employed for various purposes. Some of the most popular applications of moving averages in time series analysis include: Noise Reduction: Moving averages effectively filter out random fluctuations and noise in time series data.
Moving Average (MA): Purpose, Uses, Formula, and Examples - Investopedia
A moving average (MA) is a stock indicator commonly used in technical analysis. The moving average helps to level the price data over a specified period by creating a constantly updated...
Simple Moving Average (SMA): What It Is and the Formula - Investopedia
A simple moving average (SMA) is an arithmetic moving average calculated by adding recent prices and then dividing that figure by the number of time periods in the calculation average. For...
Using Moving Averages to Smooth Time Series Data
Moving averages are a series of averages calculated using sequential segments of data points over a series of values. They have a length, which defines the number of data points to include in each average. One-sided moving averages include the current and previous observations for each average.
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