PCF GROUP (Germany) Price Patterns
| 6D1 Stock | EUR 0.89 0.02 2.30% |
Momentum 49
Impartial
Oversold | Overbought |
Quarterly Earnings Growth (0.38) | Quarterly Revenue Growth 1.693 |
Using PCF GROUP hype-based prediction, you can estimate the value of PCF GROUP SA from the perspective of PCF GROUP 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 PCF GROUP to buy its stock at a price that has no basis in reality. In that case, they are not buying PCF 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.
PCF GROUP after-hype prediction price | EUR 0.93 |
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.
PCF |
PCF GROUP After-Hype Price Density Analysis
As far as predicting the price of PCF GROUP 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 PCF GROUP 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 PCF GROUP, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
PCF GROUP Estimiated After-Hype Price Volatility
In the context of predicting PCF GROUP's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on PCF GROUP's historical news coverage. PCF GROUP's after-hype downside and upside margins for the prediction period are 0.05 and 20.89, respectively. We have considered PCF GROUP'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 compare with traditional linear, nonlinear models or artificial intelligence models to provide accurate predictions consistently.
Current Value
PCF GROUP is out of control at this time. Analysis and calculation of next after-hype price of PCF GROUP SA is based on 3 months time horizon.
PCF GROUP Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as PCF GROUP is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading PCF GROUP 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 PCF GROUP, 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 |
1.89 | 19.96 | 0.04 | 962.28 | 1 Events / Month | 1 Events / Month | Very soon |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
0.89 | 0.93 | 4.49 |
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PCF GROUP Hype Timeline
PCF GROUP SA is presently traded for 0.89on Frankfurt Exchange of Germany. The entity has historical hype elasticity of 0.04, and average elasticity to hype of competition of -962.28. PCF is estimated to increase in value after the next headline, with the price projected to jump to 0.93 or above. The average volatility of media hype impact on the company the price is over 100%. The price rise on the next news is forecasted to be 4.49%, whereas the daily expected return is presently at 1.89%. The volatility of related hype on PCF GROUP is about 3.92%, with the expected price after the next announcement by competition of -961.39. Assuming the 90 days horizon the next estimated press release will be very soon. Check out PCF GROUP Basic Forecasting Models to cross-verify your projections.PCF GROUP Related Hype Analysis
Having access to credible news sources related to PCF GROUP's direct competition is more important than ever and may enhance your ability to predict PCF GROUP's future price movements. Getting to know how PCF GROUP'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 PCF GROUP may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| BRH | Berkshire Hathaway | (3,500) | 6 per month | 0.00 | (0.09) | 1.72 | (1.43) | 7.12 | |
| LSPP | Chocoladefabriken Lindt Sprngli | (60.00) | 1 per month | 1.29 | (0.02) | 2.02 | (1.73) | 6.23 | |
| NVE | NVR Inc | (100.00) | 8 per month | 1.61 | (0.02) | 3.25 | (2.38) | 11.40 | |
| WNI | WHITE MTNS INS | 10.00 | 5 per month | 1.49 | 0.08 | 2.35 | (2.81) | 11.12 | |
| HHX | HAMMONIA Schiffsholding AG | (14.00) | 3 per month | 3.46 | 0.04 | 8.51 | (8.33) | 25.94 | |
| S0V | Seaboard | 80.00 | 7 per month | 1.45 | 0.24 | 3.76 | (3.02) | 8.51 | |
| 7LB | Lotus Bakeries NV | 20.00 | 2 per month | 1.16 | 0.23 | 3.73 | (2.21) | 8.33 |
PCF GROUP Additional Predictive Modules
Most predictive techniques to examine PCF price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for PCF using various technical indicators. When you analyze PCF 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 PCF GROUP Predictive Indicators
The successful prediction of PCF GROUP 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 PCF GROUP SA, 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 PCF GROUP based on analysis of PCF GROUP hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to PCF GROUP's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to PCF GROUP's related companies.
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Complementary Tools for PCF Stock analysis
When running PCF GROUP's price analysis, check to measure PCF GROUP'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 PCF GROUP is operating at the current time. Most of PCF GROUP's value examination focuses on studying past and present price action to predict the probability of PCF GROUP's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move PCF GROUP's price. Additionally, you may evaluate how the addition of PCF GROUP to your portfolios can decrease your overall portfolio volatility.
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