Appleseed Fund Mutual Fund Forecast - Double Exponential Smoothing

Double exponential smoothing - also known as Holt exponential smoothing is a refinement of the popular simple exponential smoothing model with an additional trending component. Double exponential smoothing model for Appleseed Fund works best with periods where there are trends or seasonality.

Appleseed Fund Double Exponential Smoothing Price Forecast For the 1st of December

Given 90 days horizon, the Double Exponential Smoothing forecasted value of Appleseed Fund Appleseed on the next trading day is expected to be 15.58 with a mean absolute deviation of 0.08, mean absolute percentage error of 0.01, and the sum of the absolute errors of 4.98.

Appleseed Fund Mutual Fund Forecast Pattern

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Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Appleseed Fund mutual fund data series using in forecasting. Note that when a statistical model is used to represent Appleseed Fund mutual fund, 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. When Appleseed Fund Appleseed prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any Appleseed Fund Appleseed trend in the prices. So in double exponential smoothing past observations are given exponentially smaller weights as the observations get older. In other words, recent Appleseed Fund observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Appleseed Fund

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Appleseed Fund Appleseed. Regardless of method or technology, however, to accurately forecast the mutual fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the mutual fund 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 14.88 15.59 16.30 Details

Intrinsic Valuation Low Real High 14.72 15.43 16.14 Details

Bollinger Band Projection (param) Low Middle High 15.10 15.41 15.72 Details

Other Forecasting Options for Appleseed Fund

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

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Appleseed Fund Appleseed Technical and Predictive Analytics

The mutual fund market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Appleseed Fund'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 Appleseed Fund's current price.

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Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.

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