CPE Technology Stock Forecast - Triple Exponential Smoothing

5317 Stock   0.89  0.02  2.20%   
The Triple Exponential Smoothing forecasted value of CPE Technology Berhad on the next trading day is expected to be 0.89 with a mean absolute deviation of 0.02 and the sum of the absolute errors of 1.01. Investors can use prediction functions to forecast CPE Technology's stock prices and determine the direction of CPE Technology Berhad's future trends based on various well-known forecasting models. However, exclusively looking at the historical price movement is usually misleading. We recommend always using this module together with an analysis of CPE Technology's historical fundamentals, such as revenue growth or operating cash flow patterns. Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
  
Triple exponential smoothing for CPE Technology - also known as the Winters method - is a refinement of the popular double exponential smoothing model with the addition of periodicity (seasonality) component. Simple exponential smoothing technique works best with data where there are no trend or seasonality components to the data. When CPE Technology 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 trend in CPE Technology price movement. However, neither of these exponential smoothing models address any seasonality of CPE Technology Berhad.

CPE Technology Triple Exponential Smoothing Price Forecast For the 14th of December 2024

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of CPE Technology Berhad on the next trading day is expected to be 0.89 with a mean absolute deviation of 0.02, mean absolute percentage error of 0.0006, and the sum of the absolute errors of 1.01.
Please note that although there have been many attempts to predict CPE Stock prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that CPE Technology's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

CPE Technology Stock Forecast Pattern

CPE Technology Forecasted Value

In the context of forecasting CPE Technology's Stock value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. CPE Technology's downside and upside margins for the forecasting period are 0.01 and 3.84, respectively. We have considered CPE Technology's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Market Value
0.89
0.89
Expected Value
3.84
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of CPE Technology stock data series using in forecasting. Note that when a statistical model is used to represent CPE Technology 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.
AICAkaike Information CriteriaHuge
BiasArithmetic mean of the errors 0.0021
MADMean absolute deviation0.0169
MAPEMean absolute percentage error0.0191
SAESum of the absolute errors1.0147
As with simple exponential smoothing, in triple exponential smoothing models past CPE Technology observations are given exponentially smaller weights as the observations get older. In other words, recent observations are given relatively more weight in forecasting than the older CPE Technology Berhad observations.

Predictive Modules for CPE Technology

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as CPE Technology Berhad. 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.

Other Forecasting Options for CPE Technology

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

CPE Technology Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with CPE Technology stock to make a market-neutral strategy. Peer analysis of CPE Technology could also be used in its relative valuation, which is a method of valuing CPE Technology by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

CPE Technology Berhad 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 CPE Technology'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 CPE Technology's current price.

CPE Technology Market Strength Events

Market strength indicators help investors to evaluate how CPE Technology stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading CPE Technology shares will generate the highest return on investment. By undertsting and applying CPE Technology stock market strength indicators, traders can identify CPE Technology Berhad entry and exit signals to maximize returns.

CPE Technology Risk Indicators

The analysis of CPE Technology's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in CPE Technology's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting cpe stock prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

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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.