ALIBABA GROUP Polynomial Regression

Investors can use this prediction interface to forecast ALIBABA GROUP historic prices and determine the direction of ALIBABA GROUP HLDG 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 ALIBABA GROUP historical fundamentals such as revenue growth or operating cash flow patterns. See also Trending Equities.
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ALIBABA GROUP polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for ALIBABA GROUP HLDG as well as the accuracy indicators are determined from the period prices.
A single variable polynomial regression model attempts to put a curve through the ALIBABA GROUP 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