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WeightedMovingAverage

A Weighted Moving Average places more weight on recent values and less weight on older values. A Moving Average is most often used to average values for a smoother representation of the underlying price or indicator. A weighted moving average is designed to put more weight on recent data and less weight on past data. A weighted moving average is calculated by multiplying each of the previous period of data by a weight. The weighting is calculated from the sum of period. First, the exponentially smoothed average assigns a greater weight to the more recent data. Therefore, it is a weighted moving average. But while it assigns lesser importance to past price data, it does include in its calculation all the data in the life of the instrument.

If larger weight factors are used for more recent periods and smaller factors for measurements further back in time, the trend will be more responsive to recent changes without sacrificing the smoothing a moving average provides Weighted Moving Average smoothes a data series that is very important in a volatile market

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