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Background and Methodology
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The MSP Finance Team Financial Forecasting app of MSPbots uses Overall Trends and Seasonality to calculate values for forecasting. The following example of a For example, the following seasonality graph illustrates how it is possible to forecast the high price seasonality of commodities corn and soy, where abundant supply during the fall harvest period results in lower prices. This Based on the values in the graph, this period reaches its peak during the summer months.
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C. With Cyclical and Seasonal Variations D D. With Cyclical and Seasonal Variations and Random fluctuations
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Figures C and D add Seasonal and Random value movements to the trend.
How
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Actual Gross Margin, Revenue, and Expenses are calculated
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MSPbots uses a Machine Learning model to automatically calculate and detect Overall Trends and Seasonality.
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Overview
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