Sea Stock Forecast - Polynomial Regression
| SE Stock | USD 116.33 1.87 1.63% |
The Polynomial Regression forecasted value of Sea on the next trading day is expected to be 114.55 with a mean absolute deviation of 3.35 and the sum of the absolute errors of 204.60. 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'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.
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Sea Polynomial Regression Price Forecast For the 23rd of November
Given 90 days horizon, the Polynomial Regression forecasted value of Sea on the next trading day is expected to be 114.55 with a mean absolute deviation of 3.35, mean absolute percentage error of 14.47, and the sum of the absolute errors of 204.60.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
| Backtest Sea | Sea Price Prediction | Buy or Sell Advice |
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 112.19 and 116.91, 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.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Polynomial Regression 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.| AIC | Akaike Information Criteria | 120.7826 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 3.3541 |
| MAPE | Mean absolute percentage error | 0.0367 |
| SAE | Sum of the absolute errors | 204.5991 |
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. 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 Sea'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 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 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.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
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 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.
| Mean Deviation | 1.58 | |||
| Semi Deviation | 1.32 | |||
| Standard Deviation | 2.32 | |||
| Variance | 5.4 | |||
| Downside Variance | 2.9 | |||
| Semi Variance | 1.75 | |||
| Expected Short fall | (1.92) |
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.Check out Historical Fundamental Analysis of Sea to cross-verify your projections. For information on how to trade Sea Stock refer to our How to Trade Sea Stock guide.You can also try the Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.
Is Interactive Home Entertainment space expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Sea. If investors know Sea will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Sea listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth (0.74) | Earnings Share 0.15 | Revenue Per Share 27.058 | Quarterly Revenue Growth 0.308 | Return On Assets 0.0094 |
The market value of Sea is measured differently than its book value, which is the value of Sea that is recorded on the company's balance sheet. Investors also form their own opinion of Sea's value that differs from its market value or its book value, called intrinsic value, which is Sea's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Sea's market value can be influenced by many factors that don't directly affect Sea's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Sea's value and its price as these two are different measures arrived at by different means. Investors typically determine if Sea is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Sea's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.