PF Bakkafrost (Germany) Price Prediction
| 6BF Stock | EUR 54.50 0.25 0.46% |
Oversold Vs Overbought
53
Oversold | Overbought |
Using PF Bakkafrost hype-based prediction, you can estimate the value of PF Bakkafrost from the perspective of PF Bakkafrost 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 PF Bakkafrost to buy its stock at a price that has no basis in reality. In that case, they are not buying 6BF 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.
PF Bakkafrost after-hype prediction price | EUR 54.5 |
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.
6BF |
PF Bakkafrost After-Hype Price Prediction Density Analysis
As far as predicting the price of PF Bakkafrost 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 PF Bakkafrost 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 PF Bakkafrost, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
PF Bakkafrost Estimiated After-Hype Price Volatility
In the context of predicting PF Bakkafrost's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on PF Bakkafrost's historical news coverage. PF Bakkafrost's after-hype downside and upside margins for the prediction period are 52.64 and 56.36, respectively. We have considered PF Bakkafrost'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
PF Bakkafrost is very steady at this time. Analysis and calculation of next after-hype price of PF Bakkafrost is based on 3 months time horizon.
PF Bakkafrost Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as PF Bakkafrost is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading PF Bakkafrost 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 PF Bakkafrost, 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 |
0.14 | 1.86 | 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 | ||
54.50 | 54.50 | 0.00 |
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PF Bakkafrost Hype Timeline
PF Bakkafrost is presently traded for 54.50on Frankfurt Exchange of Germany. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. 6BF 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 presently at 0.14%. %. The volatility of related hype on PF Bakkafrost is about 0.0%, with the expected price after the next announcement by competition of 54.50. About 16.0% of the company shares are owned by insiders or employees . The book value of PF Bakkafrost was presently reported as 174.92. The company last dividend was issued on the 2nd of May 2023. Assuming the 90 days horizon the next estimated press release will be in 5 to 10 days. Check out PF Bakkafrost Basic Forecasting Models to cross-verify your projections.PF Bakkafrost Related Hype Analysis
Having access to credible news sources related to PF Bakkafrost's direct competition is more important than ever and may enhance your ability to predict PF Bakkafrost's future price movements. Getting to know how PF Bakkafrost'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 PF Bakkafrost may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| 26Y | YATRA ONLINE DL 0001 | 0.00 | 0 per month | 0.00 | (0.07) | 4.08 | (5.26) | 17.69 | |
| UTDI | United Internet AG | 0.00 | 0 per month | 0.00 | (0.14) | 2.63 | (2.14) | 19.18 | |
| CVB | Computer And Technologies | 0.00 | 0 per month | 0.00 | (0.12) | 4.76 | (5.00) | 10.82 | |
| BAC | Verizon Communications | 0.00 | 0 per month | 0.00 | (0.03) | 1.90 | (1.87) | 6.48 | |
| MNL | MUTUIONLINE | 0.00 | 0 per month | 1.78 | 0.10 | 3.13 | (3.45) | 9.15 | |
| IE2A | Internet Thailand PCL | 0.00 | 0 per month | 2.59 | 0.10 | 9.09 | (5.88) | 28.96 | |
| FOO0 | SALESFORCE INC CDR | 0.00 | 0 per month | 1.98 | 0.11 | 4.03 | (3.73) | 24.18 |
PF Bakkafrost Additional Predictive Modules
Most predictive techniques to examine 6BF price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for 6BF using various technical indicators. When you analyze 6BF 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 PF Bakkafrost Predictive Indicators
The successful prediction of PF Bakkafrost 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 PF Bakkafrost, 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 PF Bakkafrost based on analysis of PF Bakkafrost hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to PF Bakkafrost's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to PF Bakkafrost's related companies.
Story Coverage note for PF Bakkafrost
The number of cover stories for PF Bakkafrost depends on current market conditions and PF Bakkafrost's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that PF Bakkafrost 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 PF Bakkafrost'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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PF Bakkafrost Short Properties
PF Bakkafrost's future price predictability will typically decrease when PF Bakkafrost's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of PF Bakkafrost often depends not only on the future outlook of the potential PF Bakkafrost'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. PF Bakkafrost's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 59.1 M |
Complementary Tools for 6BF Stock analysis
When running PF Bakkafrost's price analysis, check to measure PF Bakkafrost'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 PF Bakkafrost is operating at the current time. Most of PF Bakkafrost's value examination focuses on studying past and present price action to predict the probability of PF Bakkafrost's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move PF Bakkafrost's price. Additionally, you may evaluate how the addition of PF Bakkafrost to your portfolios can decrease your overall portfolio volatility.
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