Sea Stock Forecast - Double Exponential Smoothing

S2EA34 Stock  BRL 27.06  1.08  3.84%   
The Double Exponential Smoothing forecasted value of Sea Limited on the next trading day is expected to be 27.14 with a mean absolute deviation of 0.41 and the sum of the absolute errors of 24.29. Sea Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Sea stock prices and determine the direction of Sea Limited's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Sea's historical fundamentals, such as revenue growth or operating cash flow patterns.
  
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 Sea works best with periods where there are trends or seasonality.

Sea Double Exponential Smoothing Price Forecast For the 24th of December

Given 90 days horizon, the Double Exponential Smoothing forecasted value of Sea Limited on the next trading day is expected to be 27.14 with a mean absolute deviation of 0.41, mean absolute percentage error of 0.30, and the sum of the absolute errors of 24.29.
Please note that although there have been many attempts to predict Sea 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 Sea's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Sea Stock Forecast Pattern

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Sea Forecasted Value

In the context of forecasting Sea'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. Sea's downside and upside margins for the forecasting period are 24.89 and 29.39, respectively. We have considered Sea'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
27.06
27.14
Expected Value
29.39
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 Sea stock data series using in forecasting. Note that when a statistical model is used to represent Sea 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 -0.029
MADMean absolute deviation0.4117
MAPEMean absolute percentage error0.017
SAESum of the absolute errors24.29
When Sea 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 Sea 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 Sea observations are given relatively more weight in forecasting than the older observations.

Predictive Modules for Sea

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Sea 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.
Hype
Prediction
LowEstimatedHigh
24.8127.0629.31
Details
Intrinsic
Valuation
LowRealHigh
23.4825.7327.98
Details
Please note, it is not enough to conduct a financial or market analysis of a single entity such as Sea. Your research has to be compared to or analyzed against Sea's peers to derive any actionable benefits. When done correctly, Sea's competitive analysis will give you plenty of quantitative and qualitative data to validate your investment decisions or develop an entirely new strategy toward taking a position in Sea Limited.

Other Forecasting Options for Sea

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

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

Sea 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 Sea'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 Sea's current price.

Sea Market Strength Events

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

Sea Risk Indicators

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

Also Currently Popular

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.

Other Information on Investing in Sea Stock

Sea financial ratios help investors to determine whether Sea Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Sea with respect to the benefits of owning Sea security.