Graha Layar Stock Forecast - Naive Prediction

A naive forecasting model for Graha Layar is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Graha Layar Prima value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

Graha Layar Naive Prediction Price Forecast For the 30th of November

Given 90 days horizon, the Naive Prediction forecasted value of Graha Layar Prima on the next trading day is expected to be 2,093 with a mean absolute deviation of 34.01, mean absolute percentage error of 1,839, and the sum of the absolute errors of 2,074.

Graha Layar Stock Forecast Pattern

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Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Graha Layar stock data series using in forecasting. Note that when a statistical model is used to represent Graha Layar 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 model is not at all useful as a medium-long range forecasting tool of Graha Layar Prima. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict Graha Layar. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for Graha Layar

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 Layar Prima. 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 1,999 2,000 2,001 Details

Intrinsic Valuation Low Real High 1,800 2,010 2,011 Details

Bollinger Band Projection (param) Low Middle High 1,883 2,046 2,209 Details

Other Forecasting Options for Graha Layar

For every potential investor in Graha, whether a beginner or expert, Graha Layar'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 Layar's price trends.

Graha Layar Related Equities

Risk & Return

Correlation

Graha Layar Prima 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 Layar'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 Layar's current price.

Graha Layar Market Strength Events

Graha Layar Risk Indicators

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