Bollor SE (Germany) Price Prediction
| BOP Stock | EUR 5.81 0.01 0.17% |
Oversold Vs Overbought
47
Oversold | Overbought |
Using Bollor SE hype-based prediction, you can estimate the value of Bollor SE from the perspective of Bollor SE 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 Bollor SE to buy its stock at a price that has no basis in reality. In that case, they are not buying Bollor 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.
Bollor SE after-hype prediction price | EUR 5.81 |
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.
Bollor |
Bollor SE After-Hype Price Prediction Density Analysis
As far as predicting the price of Bollor SE 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 Bollor SE 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 Bollor SE, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Bollor SE Estimiated After-Hype Price Volatility
In the context of predicting Bollor SE's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Bollor SE's historical news coverage. Bollor SE's after-hype downside and upside margins for the prediction period are 4.63 and 6.99, respectively. We have considered Bollor SE'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
Bollor SE is not too volatile at this time. Analysis and calculation of next after-hype price of Bollor SE is based on 3 months time horizon.
Bollor SE Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Bollor SE is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Bollor SE 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 Bollor SE, 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 |
0.01 | 1.18 | 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 | ||
5.81 | 5.81 | 0.00 |
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Bollor SE Hype Timeline
Bollor SE is currently traded for 5.81on Frankfurt Exchange of Germany. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Bollor is estimated 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 estimated to be very small, whereas the daily expected return is currently at 0.01%. %. The volatility of related hype on Bollor SE is about 0.0%, with the expected price after the next announcement by competition of 5.81. About 72.0% of the company shares are held by company insiders. The company has price-to-book (P/B) ratio of 0.83. Some equities with similar Price to Book (P/B) outperform the market in the long run. Bollor SE recorded a loss per share of 4.84. The entity last dividend was issued on the 30th of August 2022. The firm had 100:1 split on the 1st of December 2014. Assuming the 90 days horizon the next estimated press release will be in 5 to 10 days. Check out Bollor SE Basic Forecasting Models to cross-verify your projections.Bollor SE Related Hype Analysis
Having access to credible news sources related to Bollor SE's direct competition is more important than ever and may enhance your ability to predict Bollor SE's future price movements. Getting to know how Bollor SE'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 Bollor SE may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| CMW | China Communications Services | 0.00 | 0 per month | 1.75 | 0.01 | 4.00 | (2.33) | 12.15 | |
| BJI | DATANG INTL POW | 0.00 | 0 per month | 0.00 | (0.04) | 6.25 | (5.88) | 21.11 | |
| SIU | Stewart Information Services | 0.00 | 0 per month | 1.44 | (0.01) | 3.28 | (2.90) | 10.93 | |
| SIT4 | Singapore Telecommunications Limited | 0.00 | 0 per month | 1.50 | 0.01 | 3.06 | (2.27) | 9.66 | |
| NU42 | Ribbon Communications | 0.00 | 0 per month | 1.95 | 0.10 | 5.30 | (3.55) | 10.99 | |
| ZGY | Fidelity National Information | 0.00 | 0 per month | 0.79 | 0.11 | 1.97 | (1.21) | 5.61 | |
| 6GC | Gamma Communications plc | 0.00 | 0 per month | 1.41 | (0.01) | 2.56 | (2.11) | 16.76 | |
| 6PU | Pure Storage | 0.00 | 0 per month | 0.00 | (0.10) | 3.99 | (6.25) | 15.42 |
Bollor SE Additional Predictive Modules
Most predictive techniques to examine Bollor price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Bollor using various technical indicators. When you analyze Bollor 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 Bollor SE Predictive Indicators
The successful prediction of Bollor SE 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 Bollor SE, 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 Bollor SE based on analysis of Bollor SE hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Bollor SE's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Bollor SE's related companies.
Story Coverage note for Bollor SE
The number of cover stories for Bollor SE depends on current market conditions and Bollor SE's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Bollor SE 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 Bollor SE'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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Bollor SE Short Properties
Bollor SE's future price predictability will typically decrease when Bollor SE's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Bollor SE often depends not only on the future outlook of the potential Bollor SE'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. Bollor SE's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 2.9 B |
Complementary Tools for Bollor Stock analysis
When running Bollor SE's price analysis, check to measure Bollor SE'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 Bollor SE is operating at the current time. Most of Bollor SE's value examination focuses on studying past and present price action to predict the probability of Bollor SE's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Bollor SE's price. Additionally, you may evaluate how the addition of Bollor SE to your portfolios can decrease your overall portfolio volatility.
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