Investor Education Simple Exponential Smoothing

Financial Indicator

Investors can use prediction functions to forecast Investor Education historic prices and determine the direction of FILTER 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 Investor Education historical fundamentals such as revenue growth or operating cash flow patterns. See also Investing Opportunities.
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Investor Education simple exponential smoothing forecast is a very popular model used to produce a smoothed price series. Whereas in simple Moving Average models the past observations for FILTER are weighted equally, Exponential Smoothing assigns exponentially decreasing weights as Investor Education prices get older.
This simple exponential smoothing model begins by setting FILTER forecast for the second period equal to the observation of the first period. In other words, recent Investor Education observations are given relatively more weight in forecasting than the older observations.