SUN Stock Forecast - Double Exponential Smoothing

SUN Stock   39.90  0.10  0.25%   
The Double Exponential Smoothing forecasted value of SUN LIMITED on the next trading day is expected to be 38.85 with a mean absolute deviation of 1.16 and the sum of the absolute errors of 68.43. Investors can use prediction functions to forecast SUN's stock prices and determine the direction of SUN LIMITED'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 SUN's historical fundamentals, such as revenue growth or operating cash flow patterns. Check out World Market Map 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 state.
  
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 SUN works best with periods where there are trends or seasonality.

SUN Double Exponential Smoothing Price Forecast For the 26th of November

Given 90 days horizon, the Double Exponential Smoothing forecasted value of SUN LIMITED on the next trading day is expected to be 38.85 with a mean absolute deviation of 1.16, mean absolute percentage error of 7.63, and the sum of the absolute errors of 68.43.
Please note that although there have been many attempts to predict SUN 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 SUN's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

SUN Stock Forecast Pattern

SUN Forecasted Value

In the context of forecasting SUN'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. SUN's downside and upside margins for the forecasting period are 33.49 and 44.20, respectively. We have considered SUN'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
39.90
38.85
Expected Value
44.20
Upside

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 SUN stock data series using in forecasting. Note that when a statistical model is used to represent SUN 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 0.5273
MADMean absolute deviation1.1599
MAPEMean absolute percentage error0.0262
SAESum of the absolute errors68.4333
When SUN LIMITED 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 SUN LIMITED 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 SUN observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for SUN

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as SUN LIMITED. 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.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of SUN's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.

Other Forecasting Options for SUN

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

SUN 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 SUN stock to make a market-neutral strategy. Peer analysis of SUN could also be used in its relative valuation, which is a method of valuing SUN by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

SUN LIMITED 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 SUN'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 SUN's current price.

SUN Market Strength Events

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

SUN Risk Indicators

The analysis of SUN'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 SUN's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting sun 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.

Building efficient market-beating portfolios requires time, education, and a lot of computing power!

The Portfolio Architect is an AI-driven system that provides multiple benefits to our users by leveraging cutting-edge machine learning algorithms, statistical analysis, and predictive modeling to automate the process of asset selection and portfolio construction, saving time and reducing human error for individual and institutional investors.

Try AI Portfolio Architect