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Chande Forecast Oscillator
This study calculates and displays a Chande Forecast Oscillator of the data specified by the Input Data Input.
Let \(X\) be a random variable denoting the Input Data, and let \(X_t\) be the value of the Input Data at Index \(t\). Let the Input Length be denoted as \(n\). Then we denote the Chande Forecast Oscillator at Index \(t\) for the given Inputs as \(CFO_t(X,n)\), and we compute it in terms of a Linear Regression Moving Average for \(t \geq n - 1\) as follows.
\(CFO_t(X,n) = \displaystyle{100\cdot\frac{X_t - LRMA_t(X,n)}{X_t} \space (X_t \neq 0)}\)Inputs
Spreadsheet
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*Last modified Monday, 26th September, 2022.