Electronic City Stock 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 Electronic City works best with periods where there are trends or seasonality.

Electronic City Double Exponential Smoothing Price Forecast For the 13th of December 2024

Given 90 days horizon, the Double Exponential Smoothing forecasted value of Electronic City Indonesia on the next trading day is expected to be 306.00 with a mean absolute deviation of 10.54, mean absolute percentage error of 401.56, and the sum of the absolute errors of 622.00.

Electronic City Stock Forecast Pattern

Backtest Electronic City

Electronic City Price Prediction

Buy or Sell Advice

Electronic City Forecasted Value

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 Electronic City stock data series using in forecasting. Note that when a statistical model is used to represent Electronic City 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. When Electronic City Indonesia 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 Electronic City Indonesia 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 Electronic City observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Electronic City

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Electronic City Indonesia. 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 300.06 308.00 315.94 Details

Intrinsic Valuation Low Real High 230.62 238.56 338.80 Details

Other Forecasting Options for Electronic City

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

Electronic City Related Equities

Risk & Return

Correlation

Electronic City Indonesia 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 Electronic City'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 Electronic City's current price.

Electronic City Market Strength Events

Electronic City Risk Indicators

Other Information on Investing in Electronic Stock