# ATT Polynomial Regression

T -- USA Stock

## USD 36.761.153.03%

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.
 Symbol Refresh
 Horizon 30 Days     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 Forecasted Value

September 21, 2019
36.76
Market Value
38.17
Expected Value
Target Odds
 Above Odds Below Odds
41.65
Upside

## Model Predictive Factors

 AIC Akaike Information Criteria 118.9516 Bias Arithmetic mean of the errors None MAD Mean absolute deviation 0.4696 MAPE Mean absolute percentage error 0.0135 SAE Sum of the absolute errors 29.1169
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

## ATT Technical Indicators

### ATT Technical and Predictive Analytics

 Cycle Indicators Math Operators Math Transform Momentum Indicators Overlap Studies Pattern Recognition Price Transform Statistic Functions Volatility Indicators Volume Indicators

## Volatility Measures

### ATT Risk Indicators

 Mean Deviation 0.8707 Semi Deviation 0.7955 Standard Deviation 1.14 Variance 1.29 Downside Variance 1.09 Semi Variance 0.6329 Expected Short fall (1.02)
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