The Forecasting AI &ML Agent uses a Time Series estimation technique to make predictions about future behavior. This agent specifically uses Single Spectrum Analysis (SSA) algorithm.

SSA is a powerful framework for decomposing the time series into trend, seasonality, and noise components as well as forecasting the future values of the time series.

In principle, SSA performs spectral analysis on the input time series where each component in the spectrum corresponds to a trend, seasonal, or noise component in the time series.

Details for an example and its configuration can be found in the How to Use section.


The minimum XMPro Data Stream version required for this Agent is 4.1.


Please contact XMPro if you're looking for an older version of this Agent.

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