EHealth (Germany) Price Patterns
| M5V Stock | EUR 1.28 0.03 2.40% |
Momentum 20
Sell Stretched
Oversold | Overbought |
Quarterly Earnings Growth 0.976 | Wall Street Target Price 78.33 | Quarterly Revenue Growth (0.08) |
Using EHealth hype-based prediction, you can estimate the value of eHealth from the perspective of EHealth 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 EHealth to buy its stock at a price that has no basis in reality. In that case, they are not buying EHealth 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.
EHealth after-hype prediction price | EUR 1.31 |
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.
EHealth |
EHealth After-Hype Price Density Analysis
As far as predicting the price of EHealth 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 EHealth 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 EHealth, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
EHealth Estimiated After-Hype Price Volatility
In the context of predicting EHealth's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on EHealth's historical news coverage. EHealth's after-hype downside and upside margins for the prediction period are 0.07 and 7.06, respectively. We have considered EHealth'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
EHealth is extremely dangerous at this time. Analysis and calculation of next after-hype price of eHealth is based on 3 months time horizon.
EHealth Stock Price Outlook Analysis
Have you ever been surprised when a price of a Company such as EHealth is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading EHealth 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 EHealth, 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 |
1.29 | 5.75 | 0.03 | 0.92 | 6 Events / Month | 0 Events / Month | In about 6 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
1.28 | 1.31 | 2.34 |
|
EHealth Hype Timeline
eHealth is now traded for 1.28on Frankfurt Exchange of Germany. The entity has historical hype elasticity of 0.03, and average elasticity to hype of competition of -0.92. EHealth is estimated to increase in value after the next headline, with the price projected to jump to 1.31 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 2.34%, whereas the daily expected return is now at -1.29%. The volatility of related hype on EHealth is about 809.86%, with the expected price after the next announcement by competition of 0.36. eHealth has accumulated 567 M in total debt with debt to equity ratio (D/E) of 0.05, which may suggest the company is not taking enough advantage from borrowing. Assuming the 90 days horizon the next estimated press release will be in about 6 days. Check out EHealth Basic Forecasting Models to cross-verify your projections.EHealth Related Hype Analysis
Having access to credible news sources related to EHealth's direct competition is more important than ever and may enhance your ability to predict EHealth's future price movements. Getting to know how EHealth'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 EHealth may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| NVDG | NVIDIA P CDR | (0.40) | 1 per month | 2.64 | (0.01) | 4.18 | (3.85) | 12.01 | |
| NVD | NVIDIA | 0.00 | 0 per month | 1.74 | 0.03 | 3.36 | (2.63) | 8.65 | |
| NVD | NVIDIA | 0.00 | 0 per month | 1.72 | 0.01 | 2.80 | (2.80) | 11.01 | |
| APC8 | APPLE INC CDR | 0.00 | 0 per month | 0.00 | (0.07) | 3.64 | (2.59) | 9.65 | |
| APC | Apple Inc | 0.00 | 0 per month | 0.00 | (0.11) | 2.62 | (2.11) | 7.96 | |
| APC | Apple Inc | 0.00 | 0 per month | 0.00 | (0.12) | 2.43 | (2.08) | 9.28 | |
| ABEC | Alphabet | (9.40) | 5 per month | 1.17 | 0.07 | 3.42 | (2.27) | 7.95 | |
| ABEC | Alphabet | 0.00 | 0 per month | 0.00 | (0.09) | 2.61 | (2.46) | 5.87 | |
| ABEA | Alphabet Class A | 0.00 | 0 per month | 0.00 | (0.09) | 2.62 | (2.46) | 5.90 | |
| ABEA | Alphabet Class A | 2.70 | 8 per month | 1.26 | 0.07 | 3.30 | (2.44) | 9.71 |
EHealth Additional Predictive Modules
Most predictive techniques to examine EHealth price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for EHealth using various technical indicators. When you analyze EHealth 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 EHealth Predictive Indicators
The successful prediction of EHealth 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 eHealth, 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 EHealth based on analysis of EHealth hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to EHealth's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to EHealth's related companies.
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Complementary Tools for EHealth Stock analysis
When running EHealth's price analysis, check to measure EHealth'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 EHealth is operating at the current time. Most of EHealth's value examination focuses on studying past and present price action to predict the probability of EHealth's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move EHealth's price. Additionally, you may evaluate how the addition of EHealth to your portfolios can decrease your overall portfolio volatility.
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