Meta Public (Thailand) Price Prediction
META Stock | THB 0.12 0.01 7.69% |
Oversold Vs Overbought
41
Oversold | Overbought |
Using Meta Public hype-based prediction, you can estimate the value of Meta Public from the perspective of Meta Public 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 Meta Public to buy its stock at a price that has no basis in reality. In that case, they are not buying Meta 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.
Meta Public after-hype prediction price | THB 0.12 |
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.
Meta |
Meta Public After-Hype Price Prediction Density Analysis
As far as predicting the price of Meta Public 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 Meta Public 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 Meta Public, with the unreliable approximations that try to describe financial returns.
Next price density |
Expected price to next headline |
Meta Public Estimiated After-Hype Price Volatility
In the context of predicting Meta Public's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Meta Public's historical news coverage. Meta Public's after-hype downside and upside margins for the prediction period are 0.01 and 5.09, respectively. We have considered Meta Public'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
Meta Public is out of control at this time. Analysis and calculation of next after-hype price of Meta Public is based on 3 months time horizon.
Meta Public Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Meta Public is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Meta Public 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 Meta Public, 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 |
0.34 | 4.97 | 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 | ||
0.12 | 0.12 | 0.00 |
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Meta Public Hype Timeline
Meta Public is now traded for 0.12on Thailand Exchange of Thailand. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Meta 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 -0.34%. %. The volatility of related hype on Meta Public is about 0.0%, with the expected price after the next announcement by competition of 0.12. About 49.0% of the company outstanding shares are owned by corporate insiders. The company has price-to-book ratio of 0.33. Typically companies with comparable Price to Book (P/B) are able to outperform the market in the long run. Meta Public has Price/Earnings (P/E) ratio of 162.5. The entity recorded a loss per share of 0.06. The firm last dividend was issued on the 3rd of May 2013. Meta Public had 2738:2727 split on the 5th of September 2017. Assuming the 90 days trading horizon the next forecasted press release will be uncertain. Check out Meta Public Basic Forecasting Models to cross-verify your projections.Meta Public Related Hype Analysis
Having access to credible news sources related to Meta Public's direct competition is more important than ever and may enhance your ability to predict Meta Public's future price movements. Getting to know how Meta Public'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 Meta Public may potentially react to the hype associated with one of its peers.
HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
GULF | Gulf Energy Development | 0.00 | 0 per month | 1.83 | 0.04 | 3.19 | (2.81) | 11.13 | |
EA | Energy Absolute Public | 0.00 | 0 per month | 0.00 | (0.14) | 10.17 | (6.15) | 30.30 | |
GUNKUL | Gunkul Engineering Public | 0.00 | 0 per month | 0.00 | (0.19) | 3.45 | (4.17) | 10.53 | |
GPSC | Global Power Synergy | 0.00 | 0 per month | 0.00 | (0.15) | 2.41 | (3.61) | 11.13 | |
BCPG | BCPG Public | 0.00 | 0 per month | 0.00 | (0.18) | 3.74 | (3.67) | 9.77 |
Meta Public Additional Predictive Modules
Most predictive techniques to examine Meta price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Meta using various technical indicators. When you analyze Meta 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 Meta Public Predictive Indicators
The successful prediction of Meta Public 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 Meta Public, 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 Meta Public based on analysis of Meta Public hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Meta Public's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Meta Public's related companies.
Story Coverage note for Meta Public
The number of cover stories for Meta Public depends on current market conditions and Meta Public's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Meta Public 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 Meta Public'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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Meta Public Short Properties
Meta Public's future price predictability will typically decrease when Meta Public's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Meta Public often depends not only on the future outlook of the potential Meta Public'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. Meta Public's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding | 1.7 B |
Other Information on Investing in Meta Stock
Meta Public financial ratios help investors to determine whether Meta 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 Meta with respect to the benefits of owning Meta Public security.