Matching Maximize Stock Forecast - Simple Exponential Smoothing
| MATCH Stock | THB 0.73 0.01 1.35% |
The Simple Exponential Smoothing forecasted value of Matching Maximize Solution on the next trading day is expected to be 0.73 with a mean absolute deviation of 0.02 and the sum of the absolute errors of 1.32. Matching Stock Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast Matching Maximize stock prices and determine the direction of Matching Maximize Solution's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Matching Maximize's historical fundamentals, such as revenue growth or operating cash flow patterns.
As of now the value of rsi of Matching Maximize's share price is below 20 . This indicates that the stock is significantly oversold. The fundamental principle of the Relative Strength Index (RSI) is to quantify the velocity at which market participants are driving the price of a financial instrument upwards or downwards. Momentum 0
Sell Peaked
Oversold | Overbought |
Using Matching Maximize hype-based prediction, you can estimate the value of Matching Maximize Solution from the perspective of Matching Maximize response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Exponential Smoothing forecasted value of Matching Maximize Solution on the next trading day is expected to be 0.73 with a mean absolute deviation of 0.02 and the sum of the absolute errors of 1.32. Matching Maximize after-hype prediction price | THB 0.73 |
There is no one specific way to measure market sentiment using hype analysis or a similar predictive technique. This prediction method should be used in combination with more fundamental and traditional techniques such as stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
Matching |
Matching Maximize Additional Predictive Modules
Most predictive techniques to examine Matching price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Matching using various technical indicators. When you analyze Matching charts, please remember that the event formation may indicate an entry point for a short seller, and look at other indicators across different periods to confirm that a breakdown or reversion is likely to occur.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
Matching Maximize Simple Exponential Smoothing Price Forecast For the 24th of January
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Matching Maximize Solution on the next trading day is expected to be 0.73 with a mean absolute deviation of 0.02, mean absolute percentage error of 0, and the sum of the absolute errors of 1.32.Please note that although there have been many attempts to predict Matching 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 Matching Maximize's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Matching Maximize Stock Forecast Pattern
| Backtest Matching Maximize | Matching Maximize Price Prediction | Buy or Sell Advice |
Matching Maximize Forecasted Value
In the context of forecasting Matching Maximize'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. Matching Maximize's downside and upside margins for the forecasting period are 0.01 and 4.87, respectively. We have considered Matching Maximize'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 Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Matching Maximize stock data series using in forecasting. Note that when a statistical model is used to represent Matching Maximize 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 | 111.3545 |
| Bias | Arithmetic mean of the errors | 0.0095 |
| MAD | Mean absolute deviation | 0.0216 |
| MAPE | Mean absolute percentage error | 0.024 |
| SAE | Sum of the absolute errors | 1.3175 |
Predictive Modules for Matching Maximize
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Matching Maximize. 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.Matching Maximize After-Hype Price Prediction Density Analysis
As far as predicting the price of Matching Maximize at your current risk attitude, this probability distribution graph shows the chance that the prediction will fall between or within a specific range. We use this chart to confirm that your returns on investing in Matching Maximize or, for that matter, your successful expectations of its future price, cannot be replicated consistently. Please note, a large amount of money has been lost over the years by many investors who confused the symmetrical distributions of Stock prices, such as prices of Matching Maximize, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Matching Maximize Estimiated After-Hype Price Volatility
In the context of predicting Matching Maximize's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Matching Maximize's historical news coverage. Matching Maximize's after-hype downside and upside margins for the prediction period are 0.04 and 4.87, respectively. We have considered Matching Maximize's daily market price in relation to the headlines to evaluate this method's predictive performance. Remember, however, there is no scientific proof or empirical evidence that news-based prediction models outperform traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
Matching Maximize is abnormally volatile at this time. Analysis and calculation of next after-hype price of Matching Maximize is based on 3 months time horizon.
Matching Maximize Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Matching Maximize is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Matching Maximize backward and forwards among themselves. Have you ever observed a lot of a particular company's price movement is driven by press releases or news about the company that has nothing to do with actual earnings? Usually, hype to individual companies acts as price momentum. If not enough favorable publicity is forthcoming, the Stock price eventually runs out of speed. So, the rule of thumb here is that as long as this news hype has nothing to do with immediate earnings, you should pay more attention to it. If you see this tendency with Matching Maximize, there might be something going there, and it might present an excellent short sale opportunity.
| Expected Return | Period Volatility | Hype Elasticity | Related Elasticity | News Density | Related Density | Expected Hype |
0.82 | 4.14 | 0.00 | 0.00 | 0 Events / Month | 0 Events / Month | Uncertain |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
0.73 | 0.73 | 0.00 |
|
Matching Maximize Hype Timeline
Matching Maximize is now traded for 0.73on Thailand Exchange of Thailand. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Matching is forecasted not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is now at -0.82%. %. The volatility of related hype on Matching Maximize is about 0.0%, with the expected price after the next announcement by competition of 0.73. About 93.0% of the company outstanding shares are owned by corporate insiders. The company has price-to-book ratio of 1.21. Typically companies with comparable Price to Book (P/B) are able to outperform the market in the long run. Matching Maximize recorded a loss per share of 0.01. The entity last dividend was issued on the 8th of May 2015. The firm had 11:10 split on the 11th of May 2004. Assuming the 90 days trading horizon the next forecasted press release will be uncertain. Check out Historical Fundamental Analysis of Matching Maximize to cross-verify your projections.Matching Maximize Related Hype Analysis
Having access to credible news sources related to Matching Maximize's direct competition is more important than ever and may enhance your ability to predict Matching Maximize's future price movements. Getting to know how Matching Maximize's peers react to changing market sentiment, related social signals, and mainstream news is a great way to find investing opportunities and time the market. The summary table below summarizes the essential lagging indicators that can help you analyze how Matching Maximize may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| AQUA | Aqua Public | 0.00 | 0 per month | 0.00 | (0.03) | 6.67 | (6.25) | 13.39 | |
| GPI | Grand Prix International | 0.00 | 0 per month | 0.40 | (0.16) | 1.27 | (0.64) | 2.53 | |
| PRAKIT | Prakit Holdings Public | 0.00 | 0 per month | 1.15 | (0.01) | 2.83 | (1.85) | 7.48 | |
| RS | RS Public | 0.00 | 0 per month | 0.00 | (0.1) | 5.88 | (5.56) | 34.06 | |
| SDC | Samart Digital Public | 0.00 | 0 per month | 10.60 | 0.07 | 33.33 | (25.00) | 58.33 | |
| PICO | Pico Public | 0.00 | 0 per month | 0.00 | (0.08) | 2.80 | (3.94) | 13.04 | |
| MATI | Matichon Public | 0.00 | 0 per month | 0.00 | (0.18) | 3.95 | (4.28) | 14.61 | |
| TVT | TV Thunder Public | 0.00 | 0 per month | 0.00 | (0.04) | 4.17 | (4.00) | 12.33 | |
| MORE | More Return Public | 0.00 | 0 per month | 8.69 | 0.06 | 25.00 | (20.00) | 58.33 |
Other Forecasting Options for Matching Maximize
For every potential investor in Matching, whether a beginner or expert, Matching Maximize's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Matching Stock price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Matching. Basic forecasting techniques help filter out the noise by identifying Matching Maximize's price trends.Matching Maximize 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 Matching Maximize stock to make a market-neutral strategy. Peer analysis of Matching Maximize could also be used in its relative valuation, which is a method of valuing Matching Maximize by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Matching Maximize Market Strength Events
Market strength indicators help investors to evaluate how Matching Maximize stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Matching Maximize shares will generate the highest return on investment. By undertsting and applying Matching Maximize stock market strength indicators, traders can identify Matching Maximize Solution entry and exit signals to maximize returns.
Matching Maximize Risk Indicators
The analysis of Matching Maximize'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 Matching Maximize's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting matching 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 | 2.35 | |||
| Standard Deviation | 3.69 | |||
| Variance | 13.6 |
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.
Story Coverage note for Matching Maximize
The number of cover stories for Matching Maximize depends on current market conditions and Matching Maximize's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Matching Maximize is classified under. However, while its typical story may have numerous social followers, the rapid visibility can also attract short-sellers, who usually are skeptical about Matching Maximize's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
Other Macroaxis Stories
Our audience includes start-ups and big corporations as well as marketing, public relation firms, and advertising agencies, including technology and finance journalists. Our platform and its news and story outlet are popular among finance students, amateur traders, self-guided investors, entrepreneurs, retirees and baby boomers, academic researchers, financial advisers, as well as professional money managers - a very diverse and influential demographic landscape united by one goal - build optimal investment portfolios
Story Categories
Currently Trending Categories
Other Information on Investing in Matching Stock
Matching Maximize financial ratios help investors to determine whether Matching 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 Matching with respect to the benefits of owning Matching Maximize security.