Applied DB (Thailand) Price Prediction
| ADB Stock | THB 0.88 0.02 2.22% |
Oversold Vs Overbought
65
Oversold | Overbought |
Using Applied DB hype-based prediction, you can estimate the value of Applied DB Public from the perspective of Applied DB 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 Applied DB to buy its stock at a price that has no basis in reality. In that case, they are not buying Applied 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.
Applied DB after-hype prediction price | THB 0.88 |
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.
Applied |
Applied DB After-Hype Price Prediction Density Analysis
As far as predicting the price of Applied DB 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 Applied DB 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 Applied DB, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Applied DB Estimiated After-Hype Price Volatility
In the context of predicting Applied DB's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Applied DB's historical news coverage. Applied DB's after-hype downside and upside margins for the prediction period are 0.04 and 5.33, respectively. We have considered Applied DB'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
Applied DB is abnormally volatile at this time. Analysis and calculation of next after-hype price of Applied DB Public is based on 3 months time horizon.
Applied DB Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Applied DB is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Applied DB 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 Applied DB, 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 |
0.05 | 4.45 | 0.00 | 0.00 | 0 Events / Month | 0 Events / Month | In 5 to 10 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
0.88 | 0.88 | 0.00 |
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Applied DB Hype Timeline
Applied DB Public is presently traded for 0.88on Thailand Exchange of Thailand. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Applied 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 presently at -0.05%. %. The volatility of related hype on Applied DB is about 0.0%, with the expected price after the next announcement by competition of 0.88. About 45.0% of the company shares are held by company insiders. The company has price-to-book (P/B) ratio of 1.37. Some equities with similar Price to Book (P/B) outperform the market in the long run. Applied DB Public last dividend was issued on the 27th of April 2022. The entity had 11:10 split on the 7th of January 2022. Assuming the 90 days trading horizon the next forecasted press release will be in 5 to 10 days. Check out Applied DB Basic Forecasting Models to cross-verify your projections.Applied DB Related Hype Analysis
Having access to credible news sources related to Applied DB's direct competition is more important than ever and may enhance your ability to predict Applied DB's future price movements. Getting to know how Applied DB'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 Applied DB may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| AF | AIRA Factoring Public | 0.00 | 0 per month | 3.13 | 0.07 | 5.17 | (5.97) | 57.86 | |
| AMA | Ama Marine Public | 0.00 | 0 per month | 0.00 | (0.21) | 1.46 | (1.75) | 5.28 | |
| ABM | Asia Biomass Public | 0.00 | 0 per month | 0.00 | (0.14) | 1.59 | (2.33) | 13.93 | |
| ACAP | ASIA Capital Group | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| AKP | Akkhie Prakarn Public | 0.00 | 0 per month | 0.00 | (0.23) | 5.66 | (5.41) | 19.93 |
Applied DB Additional Predictive Modules
Most predictive techniques to examine Applied price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Applied using various technical indicators. When you analyze Applied 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 Applied DB Predictive Indicators
The successful prediction of Applied DB 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 Applied DB 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 Applied DB based on analysis of Applied DB hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Applied DB's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Applied DB's related companies.
Story Coverage note for Applied DB
The number of cover stories for Applied DB depends on current market conditions and Applied DB's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Applied DB 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 Applied DB's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Applied DB Short Properties
Applied DB's future price predictability will typically decrease when Applied DB's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Applied DB Public often depends not only on the future outlook of the potential Applied DB'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. Applied DB's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 798.6 M |
Other Information on Investing in Applied Stock
Applied DB financial ratios help investors to determine whether Applied 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 Applied with respect to the benefits of owning Applied DB security.