Facebook Polynomial Regression

Facebook Inc -- USA Stock  

USD 183.29  4.30  2.40%

Investors can use this prediction interface to forecast Facebook historic prices and determine the direction of Facebook Inc 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 Inc systematic risks associated with finding meaningful patterns of Facebook fundamentals over time. Additionally see Historical Fundamental Analysis of Facebook to cross-verify your projections.
Symbol
Refresh
 Time Horizon     30 Days    Login   to change
Facebook polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Facebook Inc as well as the accuracy indicators are determined from the period prices.
Given 30 days horizon, the value of Facebook Inc on the next trading day is expected to be 183.524399

Facebook Inc Prediction Pattern

Backtest Facebook | Facebook Price Prediction | Buy or Sell Advice 

Facebook Forecasted Value

February 25, 2018
183.29
Market Value
Downside upside
Downside
176.51
183.52
Next Trading Day Expected Value
Target Price Odds
 Above  Below  
190.54
Upside
Upside upside

Model Predictive Factors

AICAkaike Information Criteria39.1031
BiasArithmetic mean of the errors None
MADMean absolute deviation2.0361
MAPEMean absolute percentage error0.0114
SAESum of the absolute errors34.6138
A single variable polynomial regression model attempts to put a curve through the Facebook historical price points. Mathematically, assuming the independent variable is X and the dependent variable is Y, this line can be indicated as: Y = a0 + a1*X + a2*X2 + a3*X3 + ... + am*Xm

Did you try this?

Run Idea Optimizer Now
   

Idea Optimizer

Use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio
Hide  View All  NextLaunch Idea Optimizer

Volatility Measures

Facebook Risk Indicators