AMCON Distributing Stock Forecast - Simple Regression

Simple Regression model is a single variable regression model that attempts to put a straight line through AMCON Distributing 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.

AMCON Distributing Simple Regression Price Forecast For the 25th of November

Given 90 days horizon, the Simple Regression forecasted value of AMCON Distributing on the next trading day is expected to be 125.32 with a mean absolute deviation of 3.79, mean absolute percentage error of 20.51, and the sum of the absolute errors of 230.96.

AMCON Distributing Stock Forecast Pattern

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AMCON Distributing Forecasted Value

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Regression forecasting method's relative quality and the estimations of the prediction error of AMCON Distributing stock data series using in forecasting. Note that when a statistical model is used to represent AMCON Distributing stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality. 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 AMCON Distributing historical returns. These new methods are regression involving correlated responses such as growth curves and different regression methods accommodating various types of missing data.

Predictive Modules for AMCON Distributing

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as AMCON Distributing. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.

Hype Prediction Low Estimated High 121.19 124.83 128.47 Details

Intrinsic Valuation Low Real High 117.03 120.67 137.64 Details

Bollinger Band Projection (param) Low Middle High 119.90 123.76 127.63 Details

Other Forecasting Options for AMCON Distributing

For every potential investor in AMCON, whether a beginner or expert, AMCON Distributing's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. AMCON Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in AMCON. Basic forecasting techniques help filter out the noise by identifying AMCON Distributing's price trends.

AMCON Distributing Related Equities

Risk & Return

Correlation

AMCON Distributing Technical and Predictive Analytics

The stock market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of AMCON Distributing's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of AMCON Distributing's current price.

AMCON Distributing Market Strength Events

AMCON Distributing Risk Indicators

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