Sea Oil Stock Forecast - Triple Exponential Smoothing
| SEAOIL Stock | THB 2.56 0.02 0.79% |
The Triple Exponential Smoothing forecasted value of Sea Oil Public on the next trading day is expected to be 2.56 with a mean absolute deviation of 0.03 and the sum of the absolute errors of 1.78. Sea Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Sea Oil stock prices and determine the direction of Sea Oil Public's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Sea Oil's historical fundamentals, such as revenue growth or operating cash flow patterns.
Sea |
Sea Oil Triple Exponential Smoothing Price Forecast For the 5th of December
Given 90 days horizon, the Triple Exponential Smoothing forecasted value of Sea Oil Public on the next trading day is expected to be 2.56 with a mean absolute deviation of 0.03, mean absolute percentage error of 0, and the sum of the absolute errors of 1.78.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 Oil's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Sea Oil Stock Forecast Pattern
| Backtest Sea Oil | Sea Oil Price Prediction | Buy or Sell Advice |
Sea Oil Forecasted Value
In the context of forecasting Sea Oil'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 Oil's downside and upside margins for the forecasting period are 1.07 and 4.05, respectively. We have considered Sea Oil'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 Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Sea Oil stock data series using in forecasting. Note that when a statistical model is used to represent Sea Oil 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 | Huge |
| Bias | Arithmetic mean of the errors | -0.0053 |
| MAD | Mean absolute deviation | 0.0302 |
| MAPE | Mean absolute percentage error | 0.0118 |
| SAE | Sum of the absolute errors | 1.7803 |
Predictive Modules for Sea Oil
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 Oil Public. 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 Sea Oil
For every potential investor in Sea, whether a beginner or expert, Sea Oil'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 Oil's price trends.Sea Oil 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 Oil stock to make a market-neutral strategy. Peer analysis of Sea Oil could also be used in its relative valuation, which is a method of valuing Sea Oil by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Sea Oil Public 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 Oil'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 Oil's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Sea Oil Market Strength Events
Market strength indicators help investors to evaluate how Sea Oil 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 Oil shares will generate the highest return on investment. By undertsting and applying Sea Oil stock market strength indicators, traders can identify Sea Oil Public entry and exit signals to maximize returns.
Sea Oil Risk Indicators
The analysis of Sea Oil'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 Oil'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 | 1.12 | |||
| Semi Deviation | 1.3 | |||
| Standard Deviation | 1.55 | |||
| Variance | 2.4 | |||
| Downside Variance | 3.1 | |||
| Semi Variance | 1.69 | |||
| Expected Short fall | (1.39) |
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 ArchitectOther Information on Investing in Sea Stock
Sea Oil 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 Oil security.