Facebook Simple Moving Average

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Investors can use this prediction interface to forecast Facebook historic prices and determine the direction of Facebook 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 Facebook 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 Facebook systematic risks associated with finding meaningful patterns of Facebook fundamentals over time. Plese check Historical Fundamental Analysis of Facebook to cross-verify your projections.
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Horizon     30 Days    Login   to change
A two period moving average forecast for Facebook is based on an daily price series in which the stock price on a given day is replaced by the mean of that price and the preceding price. This model is best suited to price patterns experiencing average volatility.
Given 30 days horizon, the value of Facebook on the next trading day is expected to be 217.94

Facebook Prediction Pattern

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Facebook Forecasted Value

Market Value
217.94
January 25, 2020
214.82
Downside
217.94
Expected Value
221.06
Upside

Model Predictive Factors

AICAkaike Information Criteria116.1963
BiasArithmetic mean of the errors -0.6972
MADMean absolute deviation1.9494
MAPEMean absolute percentage error0.0096
SAESum of the absolute errors115.015
The simple moving average model is conceptually a linear regression of the current value of Facebook price series against current and previous (unobserved) value of Facebook. In time series analysis, the simple moving-average model is a very common approach for modeling univariate price series models including forecasting stock prices into the future

Volatility Measures

Facebook Risk Indicators