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This study calculates and displays a Normalized Volume.

Let \(V\) be a random variable denoting the Volume, and let \(V_t\) be the value of the Volume at Index \(t\). Let the Input Length be denoted as \(n\). Then we denote the Normalized Volume at Index \(t\) for the given Inputs as \(V^{(N)}_t(n)\), and we compute it in terms of a Simple Moving Average for \(t \geq n - 1\) as follows.

Note: Depending on the setting of the Input Moving Average Type, the Simple Moving Average in the above formula could be replaced with an Exponential Moving Average, a Linear Regression Moving Average, a Weighted Moving Average, a Wilders Moving Average, a Simple Moving Average - Skip Zeros, or a Smoothed Moving Average.

This study also displays horizontal lines at levels determined by the High Volume and Low Volume Inputs.