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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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.
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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

Forecasting Options

Predict Next Facebook Price

Naive Prediction
Simple Exponential Smoothing
Double Exponential Smoothing
Triple Exponential Smoothing
Simple Regression
Polynomial Regression
Simple Moving Average
4 Period Moving Average
8 Period Moving Average
20 Period Moving Average (Increase Horizon)

Other Suggestions

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 Risk & Return  Correlation

Facebook Technical Indicators

Facebook Technical and Predictive Analytics

Cycle Indicators
Math Operators
Math Transform
Momentum Indicators
Overlap Studies
Pattern Recognition
Price Transform
Statistic Functions
Volatility Indicators
Volume Indicators

Market Strength

All Facebook Market Strength Events

Accumulation Distribution0.0084
Daily Balance Of Power(1.00)
Rate Of Daily Change0.9917
Day Median Price217.03
Day Typical Price217.333333
Market Facilitation Index1.82
Bollinger Band: Demand Trend and Price Reversion Analysis  

Volatility Measures

Facebook Risk Indicators

Mean Deviation0.8421
Semi Deviation0.8821
Standard Deviation1.15
Variance1.32
Downside Variance1.39
Semi Variance0.7782
Expected Short fall(0.97)
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