Home Depot Polynomial Regression

HD -- USA Stock  

USD 191.17  1.30  0.68%

Investors can use this prediction interface to forecast Home Depot historic prices and determine the direction of The Home Depot 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 Home Depot 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 The Home Depot systematic risks associated with finding meaningful patterns of Home Depot fundamentals over time. Please also check Historical Fundamental Analysis of Home Depot to cross-verify your projections.
Horizon     30 Days    Login   to change
Home Depot polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for The Home Depot as well as the accuracy indicators are determined from the period prices.
Given 30 days horizon, the value of The Home Depot on the next trading day is expected to be 193.793971

The Home Depot Prediction Pattern

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Home Depot Forecasted Value

October 15, 2018
Market Value
Next Trading Day Expected Value
Target Odds

Model Predictive Factors

AICAkaike Information Criteria38.0879
BiasArithmetic mean of the errors None
MADMean absolute deviation1.1033
MAPEMean absolute percentage error0.0055
SAESum of the absolute errors18.7553
A single variable polynomial regression model attempts to put a curve through the Home Depot 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
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