Matching Maximize (Thailand) Price Prediction
| MATCH Stock | THB 1.26 0.04 3.28% |
Oversold Vs Overbought
45
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 fear of missing out, i.e., FOMO, can cause potential investors in Matching Maximize to buy its stock at a price that has no basis in reality. In that case, they are not buying Matching because the equity is a good investment, but because they need to do something to avoid the feeling of missing out. On the other hand, investors will often sell stocks at prices well below their value during bear markets because they need to stop feeling the pain of losing money.
Matching Maximize after-hype prediction price | THB 1.26 |
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 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 0.06 and 127.26, 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 out of control 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 |
0.21 | 2.81 | 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 | ||
1.26 | 1.26 | 0.00 |
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Matching Maximize Hype Timeline
Matching Maximize is now traded for 1.26on 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 -0.21%. %. The volatility of related hype on Matching Maximize is about 0.0%, with the expected price after the next announcement by competition of 1.26. 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 Matching Maximize Basic Forecasting Models 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 | |||
| STGT-R | SRI TRANG GLOVES | 0.00 | 0 per month | 0.00 | 0.13 | 3.97 | 0.00 | 34.42 | |
| AEONTS-R | AEON Thana Sinsap | 0.00 | 0 per month | 0.00 | 0.09 | 0.00 | 0.00 | 30.51 | |
| AEONTS | AEON Thana Sinsap | 0.00 | 0 per month | 0.00 | (0.09) | 4.06 | (2.78) | 11.16 | |
| AAI | Asian Alliance International | 0.00 | 0 per month | 2.56 | (0.01) | 4.65 | (4.44) | 14.11 | |
| SKR | Sikarin Public | 0.00 | 0 per month | 0.64 | (0.16) | 1.60 | (1.09) | 4.31 | |
| CH | Chin Huay PCL | 0.00 | 0 per month | 0.00 | (0.33) | 1.68 | (2.75) | 10.04 | |
| RBF-R | RB FOOD SUPPLY | 0.00 | 0 per month | 0.00 | (0.1) | 2.45 | 0.00 | 45.85 |
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 |
About Matching Maximize Predictive Indicators
The successful prediction of Matching Maximize stock price could yield a significant profit to investors. But is it possible? The efficient-market hypothesis suggests that all published stock prices of traded companies, such as Matching Maximize Solution, already reflect all publicly available information. This academic statement is a fundamental principle of many financial and investing theories used today. However, the typical investor usually disagrees with a 'textbook' version of this hypothesis and continually tries to find mispriced stocks to increase returns. We use internally-developed statistical techniques to arrive at the intrinsic value of Matching Maximize based on analysis of Matching Maximize hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Matching Maximize's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Matching Maximize's related companies.
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
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Matching Maximize Short Properties
Matching Maximize's future price predictability will typically decrease when Matching Maximize's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Matching Maximize Solution often depends not only on the future outlook of the potential Matching Maximize's investors but also on the ongoing dynamics between investors with different trading styles. Because the market risk indicators may have small false signals, it is better to identify suitable times to hedge a portfolio using different long/short signals. Matching Maximize's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 781.6 M |
Complementary Tools for Matching Stock analysis
When running Matching Maximize's price analysis, check to measure Matching Maximize's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Matching Maximize is operating at the current time. Most of Matching Maximize's value examination focuses on studying past and present price action to predict the probability of Matching Maximize's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Matching Maximize's price. Additionally, you may evaluate how the addition of Matching Maximize to your portfolios can decrease your overall portfolio volatility.
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