ATT Polynomial Regression

T -- USA Stock  

USD 36.76  1.15  3.03%

Investors can use this prediction interface to forecast ATT historic prices and determine the direction of ATT 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 ATT 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 ATT systematic risks associated with finding meaningful patterns of ATT fundamentals over time. Also please take a look at Historical Fundamental Analysis of ATT to cross-verify your projections.
Horizon     30 Days    Login   to change
ATT polinomial regression implements a single variable polynomial regression model using the daily prices as the independent variable. The coefficients of the regression for ATT as well as the accuracy indicators are determined from the period prices.
Given 30 days horizon, the value of ATT on the next trading day is expected to be 38.167506

ATT Prediction Pattern

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ATT Forecasted Value

September 21, 2019
Market Value
Expected Value

Model Predictive Factors

AICAkaike Information Criteria118.9516
BiasArithmetic mean of the errors None
MADMean absolute deviation0.4696
MAPEMean absolute percentage error0.0135
SAESum of the absolute errors29.1169
A single variable polynomial regression model attempts to put a curve through the ATT 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

Volatility Measures

ATT Risk Indicators