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This study calculates and displays both the Momentum and a Simple Moving Average of the Momentum of the data specified by the Input Data Input. Refer to those studies for a full explanation of the notation used here.

In the expression \(M_t(X,n)\), \(n\) denotes the Input Momentum Length. This Input was simply called Length in the Momentum study.

We denote the Simple Moving Average of the Momentum as \(SMA_t(M(X,n),n_{MA})\), where \(n_{MA}\) denotes the Moving Average Length, and \(M(X,n)\) is a random variable denoting the Momentum of Length \(n\) for the Input Data \(X\).

Both \(M_t(X,n)\) and \(SMA_t(M(X,n),n_{MA})\) are displayed for \(t \geq n + n_{MA}\). In order to compute \(SMA_{n + n_{MA}}(M(X,n),n_{MA})\), internal calculations of \(M_t(X,n)\) are executed for \(n \leq t < n + n_{MA}\), but these values are not displayed as output.