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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.