WHA Premium Stock Forecast - Double Exponential Smoothing
| WHART Stock | THB 9.95 0.05 0.50% |
The Double Exponential Smoothing forecasted value of WHA Premium Growth on the next trading day is expected to be 9.96 with a mean absolute deviation of 0.1 and the sum of the absolute errors of 5.82. WHA Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast WHA Premium stock prices and determine the direction of WHA Premium Growth's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of WHA Premium's historical fundamentals, such as revenue growth or operating cash flow patterns.
WHA |
WHA Premium Double Exponential Smoothing Price Forecast For the 30th of November
Given 90 days horizon, the Double Exponential Smoothing forecasted value of WHA Premium Growth on the next trading day is expected to be 9.96 with a mean absolute deviation of 0.1, mean absolute percentage error of 0.02, and the sum of the absolute errors of 5.82.Please note that although there have been many attempts to predict WHA 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 WHA Premium's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
WHA Premium Stock Forecast Pattern
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WHA Premium Forecasted Value
In the context of forecasting WHA Premium'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. WHA Premium's downside and upside margins for the forecasting period are 8.73 and 11.20, respectively. We have considered WHA Premium'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 Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of WHA Premium stock data series using in forecasting. Note that when a statistical model is used to represent WHA Premium 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 | 0.0147 |
| MAD | Mean absolute deviation | 0.097 |
| MAPE | Mean absolute percentage error | 0.0096 |
| SAE | Sum of the absolute errors | 5.8226 |
Predictive Modules for WHA Premium
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as WHA Premium Growth. 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 WHA Premium'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 WHA Premium
For every potential investor in WHA, whether a beginner or expert, WHA Premium's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. WHA Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in WHA. Basic forecasting techniques help filter out the noise by identifying WHA Premium's price trends.WHA Premium 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 WHA Premium stock to make a market-neutral strategy. Peer analysis of WHA Premium could also be used in its relative valuation, which is a method of valuing WHA Premium by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
WHA Premium Growth 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 WHA Premium'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 WHA Premium's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
WHA Premium Market Strength Events
Market strength indicators help investors to evaluate how WHA Premium stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading WHA Premium shares will generate the highest return on investment. By undertsting and applying WHA Premium stock market strength indicators, traders can identify WHA Premium Growth entry and exit signals to maximize returns.
| Accumulation Distribution | 1773.58 | |||
| Daily Balance Of Power | (0.33) | |||
| Rate Of Daily Change | 0.99 | |||
| Day Median Price | 10.02 | |||
| Day Typical Price | 10.0 | |||
| Price Action Indicator | (0.10) | |||
| Period Momentum Indicator | (0.05) |
WHA Premium Risk Indicators
The analysis of WHA Premium'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 WHA Premium's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting wha 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 | 0.8609 | |||
| Standard Deviation | 1.2 | |||
| Variance | 1.44 |
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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WHA Premium financial ratios help investors to determine whether WHA 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 WHA with respect to the benefits of owning WHA Premium security.