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Apple Stock Forecast - Simple Regression

<div class='circular--portrait' style='background:#000000;color: white;font-size:3em;padding-top: 40px;;'>AAP</div>
AAPL -- USA Stock  

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Investors can use this prediction interface to forecast Apple historic stock prices and determine the direction of Apple 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 Apple 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 Apple systematic risks associated with finding meaningful patterns of Apple fundamentals over time. Please continue to Historical Fundamental Analysis of Apple to cross-verify your projections.
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Simple Regression model is a single variable regression model that attempts to put a straight line through Apple price points. This line is defined by its gradient or slope, and the point at which it intercepts the x-axis. Mathematically, assuming the independent variable is X and the dependent variable is Y, then this line can be represented as: Y = intercept + slope * X.
Given 30 days horizon, the value of Apple on the next trading day is expected to be 335.914564

Apple Stock Forecast Pattern

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Apple Forecasted Value

Market Value
319.00
February 21, 2020
331.76
Downside
335.91
Expected Value
340.07
Upside

Model Predictive Factors

AICAkaike Information Criteria123.8599
BiasArithmetic mean of the errors None
MADMean absolute deviation5.7919
MAPEMean absolute percentage error0.0191
SAESum of the absolute errors359.1006
In general, regression methods applied to historical equity returns or prices series is an area of active research. In recent decades, new methods have been developed for robust regression of price series such as Apple historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

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Apple Pair Correlation

Equities Pair Trading Analysis

Correlation analysis and pair trading evaluation for Apple and Hamilton Beach Brands. Pair trading can be used as a hedging technique within a particular sector or industry or even over random equities to generate better risk-adjusted return
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Please continue to Historical Fundamental Analysis of Apple to cross-verify your projections. Please also try Price Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.