# ATT Naive Prediction

T -- USA Stock

### Trending

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
A naive forecasting model for ATT is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of ATT value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.
Given 30 days horizon, the value of ATT on the next trading day is expected to be 39.044026

## ATT Forecasted Value

Market Value
38.06
December 10, 2019
39.04
Expected Value
Target Odds
 Above Odds Below Odds
42.54
Upside

## Model Predictive Factors

 AIC Akaike Information Criteria 116.5628 Bias Arithmetic mean of the errors None MAD Mean absolute deviation 0.3513 MAPE Mean absolute percentage error 0.0093 SAE Sum of the absolute errors 21.4288
This model is not at all useful as a medium-long range forecasting tool of ATT. This model really is a simplistic model, and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly. Instead, consider using either the moving average model, or the more general weighted moving average model with a higher (i.e. greater than 1) number of periods, and possibly a different set of weights.

## 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 0.8654 Semi Deviation 1.12 Standard Deviation 1.24 Variance 1.53 Downside Variance 1.53 Semi Variance 1.24 Expected Short fall (0.92)
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