Intel Polynomial Regression

Intel Corporation -- USA Stock  

USD 44.87  0.25  0.56%

Investors can use this prediction interface to forecast Intel historic prices and determine the direction of Intel Corporation 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 Intel 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 Intel Corporation systematic risks associated with finding meaningful patterns of Intel fundamentals over time. Please also check Historical Fundamental Analysis of Intel to cross-verify your projections.
Investment Horizon     30 Days    Login   to change
Intel polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for Intel Corporation as well as the accuracy indicators are determined from the period prices.
Given 30 days horizon, the value of Intel Corporation on the next trading day is expected to be 45.098824

Intel Prediction Pattern

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Intel Forecasted Value

November 21, 2017
Market Value
Downside upside
Next Trading Day Expected Value
Target Price Odds
 Above  Below  
Upside upside

Model Predictive Factors

AICAkaike Information Criteria35.0671
BiasArithmetic mean of the errors None
MADMean absolute deviation0.2682
MAPEMean absolute percentage error0.0058
SAESum of the absolute errors4.5598
A single variable polynomial regression model attempts to put a curve through the Intel 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