Investors can use this prediction interface to forecast Agilent Technologies historic prices and determine the direction of Agilent Technologies future trends based on various well-known forecasting models. However looking at historical price movement exclusively is usually misleading. Macroaxis recommends to always use this module together with analysis of Agilent Technologies historical fundamentals such as revenue growth or operating cash flow patterns. Although naive historical forecasting may sometimes provide an important future outlook for the firm we recommend to always cross-verify it against solid analysis of Agilent Technologies systematic risks associated with finding meaningful patterns of Agilent Technologies fundamentals over time. Check also Historical Fundamental Analysis of Agilent Technologies to cross-verify your projections.
A four-period moving average forecast model for Agilent Technologies is based on an artificially constructed daily price series in which the value for a given day is replaced by the mean of that value and the values for four preceding and succeeding time periods. This model is best suited to forecast equities with high volatility.
The four period moving average method has an advantage over other forecasting models in that it does smooth out peaks and troughs in a set of daily price observations of Agilent Technologies. However, it also has several disadvantages. In particular this model does not produce an actual prediction equation for Agilent Technologies and therefore, it cannot be a useful forecasting tool for medium or long range price predictions