Investors can use this prediction interface to forecast American Airlines historic prices and determine the direction of American Airlines Group 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 American Airlines 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 American Airlines Group Inc systematic risks associated with finding meaningful patterns of American Airlines fundamentals over time. Check also Historical Fundamental Analysis of American Airlines to cross-verify your projections.American Airlines polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for American Airlines Group Inc as well as the accuracy indicators are determined from the period prices.
American Airlines Group Prediction Pattern
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American Airlines Forecasted Value
Model Predictive Factors
A single variable polynomial regression model attempts to put a curve through the American Airlines 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