Applied Industrial Stock Forecast - Simple Exponential Smoothing

Applied Industrial simple exponential smoothing forecast is a very popular model used to produce a smoothed price series. Whereas in simple Moving Average models the past observations for Applied Industrial Technologies are weighted equally, Exponential Smoothing assigns exponentially decreasing weights as Applied Industrial prices get older.

Applied Industrial Simple Exponential Smoothing Price Forecast For the 30th of November

Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Applied Industrial Technologies on the next trading day is expected to be 273.90 with a mean absolute deviation of 3.15, mean absolute percentage error of 29.47, and the sum of the absolute errors of 189.10.

Applied Industrial Stock Forecast Pattern

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Applied Industrial Price Prediction

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Applied Industrial Forecasted Value

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Applied Industrial stock data series using in forecasting. Note that when a statistical model is used to represent Applied Industrial 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. This simple exponential smoothing model begins by setting Applied Industrial Technologies forecast for the second period equal to the observation of the first period. In other words, recent Applied Industrial observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Applied Industrial

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Applied Industrial. 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 270.44 272.67 274.90 Details

Intrinsic Valuation Low Real High 238.45 240.68 301.29 Details

Bollinger Band Projection (param) Low Middle High 225.03 260.20 295.37 Details

8 Analysts Consensus Low Target High 164.10 180.33 200.17 Details

Other Forecasting Options for Applied Industrial

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

Applied Industrial Related Equities

Risk & Return

Correlation

Applied Industrial 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 Applied Industrial'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 Applied Industrial's current price.

Applied Industrial Market Strength Events

Applied Industrial Risk Indicators

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