Singha Estate (Thailand) Price Prediction
| S-R Stock | THB 0.91 0.01 1.11% |
Oversold Vs Overbought
38
Oversold | Overbought |
Using Singha Estate hype-based prediction, you can estimate the value of Singha Estate Public from the perspective of Singha Estate 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 Singha Estate to buy its stock at a price that has no basis in reality. In that case, they are not buying Singha 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.
Singha Estate after-hype prediction price | THB 0.91 |
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.
Singha |
Singha Estate After-Hype Price Prediction Density Analysis
As far as predicting the price of Singha Estate 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 Singha Estate 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 Singha Estate, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Singha Estate Estimiated After-Hype Price Volatility
In the context of predicting Singha Estate's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Singha Estate's historical news coverage. Singha Estate's after-hype downside and upside margins for the prediction period are 0.05 and 96.41, respectively. We have considered Singha Estate'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
Singha Estate is out of control at this time. Analysis and calculation of next after-hype price of Singha Estate Public is based on 3 months time horizon.
Singha Estate Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Singha Estate is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Singha Estate 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 Singha Estate, 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 |
14.29 | 129.02 | 0.00 | 0.00 | 0 Events / Month | 0 Events / Month | Within a week |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
0.91 | 0.91 | 0.00 |
|
Singha Estate Hype Timeline
Singha Estate Public is at this time traded for 0.91on Thailand Exchange of Thailand. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Singha is projected 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 projected to be very small, whereas the daily expected return is at this time at 14.29%. %. The volatility of related hype on Singha Estate is about 0.0%, with the expected price after the next announcement by competition of 0.91. The company has price-to-book ratio of 0.73. Typically companies with comparable Price to Book (P/B) are able to outperform the market in the long run. Singha Estate Public last dividend was issued on the 5th of May 2020. The entity had 11:10 split on the 7th of March 2013. Assuming the 90 days trading horizon the next projected press release will be within a week. Check out Singha Estate Basic Forecasting Models to cross-verify your projections.Singha Estate Related Hype Analysis
Having access to credible news sources related to Singha Estate's direct competition is more important than ever and may enhance your ability to predict Singha Estate's future price movements. Getting to know how Singha Estate'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 Singha Estate may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| SPALI-R | Supalai Public | 0.00 | 0 per month | 0.00 | (0.23) | 1.00 | (1.88) | 9.01 | |
| FPT | Frasers Property Public | 0.00 | 0 per month | 0.00 | (0.06) | 3.12 | (3.03) | 13.55 | |
| S-R | Singha Estate Public | 0.00 | 0 per month | 0.00 | (0.11) | 2.17 | (2.17) | 33.59 | |
| A | Areeya Property Public | 0.00 | 0 per month | 0.00 | (0.11) | 0.81 | (0.80) | 3.24 | |
| A5 | Asset Five Group | 0.00 | 0 per month | 0.00 | (0.05) | 3.05 | (3.60) | 14.03 | |
| PIN | PINTHONG INDUSTRIAL PARK | 0.00 | 0 per month | 2.22 | 0.07 | 6.14 | (3.82) | 24.13 | |
| ARIN | Arinsiri Land Public | 0.00 | 0 per month | 0.00 | (0.08) | 10.40 | (6.30) | 36.34 | |
| ALPHAX | Alpha Divisions PCL | 0.00 | 0 per month | 0.00 | (0.13) | 3.08 | (2.86) | 10.41 |
Singha Estate Additional Predictive Modules
Most predictive techniques to examine Singha price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Singha using various technical indicators. When you analyze Singha 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 Singha Estate Predictive Indicators
The successful prediction of Singha Estate 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 Singha Estate 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 Singha Estate based on analysis of Singha Estate hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Singha Estate's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Singha Estate's related companies.
Story Coverage note for Singha Estate
The number of cover stories for Singha Estate depends on current market conditions and Singha Estate's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Singha Estate 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 Singha Estate'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
Singha Estate Short Properties
Singha Estate's future price predictability will typically decrease when Singha Estate's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Singha Estate Public often depends not only on the future outlook of the potential Singha Estate'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. Singha Estate's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 6.9 B |
Other Information on Investing in Singha Stock
Singha Estate financial ratios help investors to determine whether Singha 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 Singha with respect to the benefits of owning Singha Estate security.