Graha Andrasentra Stock Forecast - Simple Exponential Smoothing

Graha Andrasentra 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 Graha Andrasentra Propertindo are weighted equally, Exponential Smoothing assigns exponentially decreasing weights as Graha Andrasentra prices get older.

Graha Andrasentra Simple Exponential Smoothing Price Forecast For the 26th of November

Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Graha Andrasentra Propertindo on the next trading day is expected to be 8.00 with a mean absolute deviation of 0.42, mean absolute percentage error of 0.42, and the sum of the absolute errors of 25.00.

Graha Andrasentra Stock Forecast Pattern

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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 Graha Andrasentra stock data series using in forecasting. Note that when a statistical model is used to represent Graha Andrasentra 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 Graha Andrasentra Propertindo forecast for the second period equal to the observation of the first period. In other words, recent Graha Andrasentra observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Graha Andrasentra

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Graha Andrasentra. 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 0.72 8.00 15.28 Details

Intrinsic Valuation Low Real High 0.36 7.14 14.42 Details

Bollinger Band Projection (param) Low Middle High 8.00 8.00 8.00 Details

Other Forecasting Options for Graha Andrasentra

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

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Graha Andrasentra 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 Graha Andrasentra'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 Graha Andrasentra's current price.

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