Technical Studies Reference

Weighted Average Oscillator

This study calculates and displays a Weighted Average Oscillator of the data specified by the Input Data Input.

Let \(X\) be a random variable denoting the Input Data Input, and let the Fast Average Length and Slow Average Length Inputs be denoted as \(n_F\) and \(n_S\), respectively. Then we denote the Weighted Average Oscillator at Index \(t\) for the given Inputs as \(WAO_t(X,n_F,n_S)\), and we compute it for \(t \geq \max\{n_S,n_F\}\) in terms of Weighted Moving Averages as follows.

\(WAO_t(X,n_F,n_S) = WMA_t(X,n_F) - WMA_t(X,n_S)\)


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*Last modified Wednesday, 03rd January, 2018.