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MSPbots uses a Machine Learning model to automatically calculate and detect Overall Trends and Seasonality. 

To This model uses the following methods to forecast values, this model uses: 

1. Autoregressive Technique - This technique assumes that a set of time series data is dependent on its past values and there is a linear relationship between the current value and its past data. Autoregressive models are used in financial and stock market forecasts and economic modeling. 
2. Fourier Method - This is a method of forecasting which is designed to improve the accuracy of time series forecasting by incorporating a more flexible prior distribution for the trend component. This facilitates more complex and non-linear trends in time series data. This method also incorporates additional parameters to factor in seasonality and is widely used as a forecasting method in industries such as finance, retail, and manufacturing. 

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