BioNTech (UK) Price Prediction
| 0A3M Stock | USD 119.15 1.45 1.23% |
Oversold Vs Overbought
58
Oversold | Overbought |
Quarterly Earnings Growth (0.86) | EPS Estimate Current Year 35.11 | EPS Estimate Next Year 18.05 | Wall Street Target Price 219.54 | EPS Estimate Current Quarter 7.58 |
Using BioNTech hype-based prediction, you can estimate the value of BioNTech SE from the perspective of BioNTech 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 BioNTech to buy its stock at a price that has no basis in reality. In that case, they are not buying BioNTech 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.
BioNTech after-hype prediction price | USD 118.79 |
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.
BioNTech |
BioNTech After-Hype Price Prediction Density Analysis
As far as predicting the price of BioNTech 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 BioNTech 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 BioNTech, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
BioNTech Estimiated After-Hype Price Volatility
In the context of predicting BioNTech's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on BioNTech's historical news coverage. BioNTech's after-hype downside and upside margins for the prediction period are 114.98 and 122.60, respectively. We have considered BioNTech'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
BioNTech is very steady at this time. Analysis and calculation of next after-hype price of BioNTech SE is based on 3 months time horizon.
BioNTech Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as BioNTech is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading BioNTech 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 BioNTech, 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 |
0.36 | 3.81 | 1.31 | 0.09 | 3 Events / Month | 1 Events / Month | In about 3 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
119.15 | 118.79 | 0.39 |
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BioNTech Hype Timeline
BioNTech SE is presently traded for 119.15on London IL of UK. The entity has historical hype elasticity of 1.31, and average elasticity to hype of competition of 0.09. BioNTech is expected to decline in value after the next headline, with the price expected to drop to 118.79. The average volatility of media hype impact on the company price is about 104.38%. The price decline on the next news is expected to be -0.39%, whereas the daily expected return is presently at 0.36%. The volatility of related hype on BioNTech is about 1465.38%, with the expected price after the next announcement by competition of 119.24. About 65.0% of the company shares are owned by insiders or employees . The company has Price-to-Book (P/B) ratio of 1.42. In the past many companies with similar price-to-book ratios have beat the market. BioNTech SE has Price/Earnings To Growth (PEG) ratio of 0.05. The entity recorded earning per share (EPS) of 18.0. The firm last dividend was issued on the 6th of June 2022. Assuming the 90 days trading horizon the next expected press release will be in about 3 days. Check out BioNTech Basic Forecasting Models to cross-verify your projections.BioNTech Related Hype Analysis
Having access to credible news sources related to BioNTech's direct competition is more important than ever and may enhance your ability to predict BioNTech's future price movements. Getting to know how BioNTech'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 BioNTech may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| MUL | Mulberry Group PLC | 5.00 | 3 per month | 0.00 | (0.06) | 7.50 | (9.09) | 28.79 | |
| IKIV | Ikigai Ventures | 0.00 | 1 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| NMT | Neometals | 0.00 | 2 per month | 0.00 | 0.01 | 7.37 | (5.00) | 36.62 | |
| 0R8Q | Coor Service Management | 0.00 | 0 per month | 0.00 | (0.24) | 1.69 | (2.15) | 14.57 | |
| FSEM | Fidelity Sustainable USD | 0.00 | 0 per month | 0.27 | (0.28) | 0.51 | (0.51) | 2.31 | |
| 0AAU | Surgical Science Sweden | (2.40) | 4 per month | 1.52 | 0.09 | 4.79 | (3.08) | 17.69 | |
| LEND | Sancus Lending Group | 0.00 | 1 per month | 0.00 | (0.05) | 11.11 | (10.00) | 44.44 | |
| PABE | Franklin Libertyshares ICAV | 0.00 | 0 per month | 0.85 | (0.05) | 1.72 | (1.51) | 4.51 | |
| SXLB | SPDR SP Materials | 0.00 | 0 per month | 0.84 | (0.13) | 1.48 | (1.47) | 3.77 | |
| AEO | Aeorema Communications Plc | 0.00 | 1 per month | 0.00 | (0.13) | 1.94 | (1.80) | 6.74 |
BioNTech Additional Predictive Modules
Most predictive techniques to examine BioNTech price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for BioNTech using various technical indicators. When you analyze BioNTech 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 BioNTech Predictive Indicators
The successful prediction of BioNTech 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 BioNTech 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 BioNTech based on analysis of BioNTech hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to BioNTech's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to BioNTech's related companies.
Story Coverage note for BioNTech
The number of cover stories for BioNTech depends on current market conditions and BioNTech's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that BioNTech 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 BioNTech'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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BioNTech Short Properties
BioNTech's future price predictability will typically decrease when BioNTech's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of BioNTech SE often depends not only on the future outlook of the potential BioNTech'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. BioNTech's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 237.7 M |
Check out BioNTech Basic Forecasting Models to cross-verify your projections. You can also try the My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.