Apple Polynomial Regression

Apple Inc -- USA Stock  

USD 171.1  0.95  0.56%

Investors can use this prediction interface to forecast Apple historic prices and determine the direction of Apple 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 Apple 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 Apple Inc systematic risks associated with finding meaningful patterns of Apple fundamentals over time. Check also Historical Fundamental Analysis of Apple to cross-verify your projections.
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Investment Horizon     30 Days    Login   to change
Apple polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Apple Inc as well as the accuracy indicators are determined from the period prices.
Given 30 days horizon, the value of Apple Inc on the next trading day is expected to be 168.797876

Apple Inc Prediction Pattern

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Apple Forecasted Value

November 19, 2017
171.1
Market Value
Downside upside
Downside
164.87
168.8
Next Trading Day Expected Value
Target Price Odds
 Above  Below  
172.73
Upside
Upside upside

Model Predictive Factors

AICAkaike Information Criteria40.0694
BiasArithmetic mean of the errors None
MADMean absolute deviation1.3428
MAPEMean absolute percentage error0.0079
SAESum of the absolute errors24.1701
A single variable polynomial regression model attempts to put a curve through the Apple 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