Eli Lilly (Germany) Price Prediction
| LLY Stock | EUR 767.80 21.70 2.91% |
Oversold Vs Overbought
50
Oversold | Overbought |
Using Eli Lilly hype-based prediction, you can estimate the value of Eli Lilly and from the perspective of Eli Lilly 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 Eli Lilly to buy its stock at a price that has no basis in reality. In that case, they are not buying Eli 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.
Eli Lilly after-hype prediction price | EUR 767.8 |
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.
Eli |
Eli Lilly After-Hype Price Prediction Density Analysis
As far as predicting the price of Eli Lilly 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 Eli Lilly 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 Eli Lilly, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Eli Lilly Estimiated After-Hype Price Volatility
In the context of predicting Eli Lilly's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Eli Lilly's historical news coverage. Eli Lilly's after-hype downside and upside margins for the prediction period are 765.34 and 770.26, respectively. We have considered Eli Lilly'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
Eli Lilly is very steady at this time. Analysis and calculation of next after-hype price of Eli Lilly is based on 3 months time horizon.
Eli Lilly Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Eli Lilly is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Eli Lilly 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 Eli Lilly, 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 |
0.02 | 2.44 | 0.00 | 0.00 | 0 Events / Month | 0 Events / Month | Uncertain |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
767.80 | 767.80 | 0.00 |
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Eli Lilly Hype Timeline
Eli Lilly is now traded for 767.80on Hamburg Exchange of Germany. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Eli is anticipated 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 anticipated to be very small, whereas the daily expected return is now at -0.02%. %. The volatility of related hype on Eli Lilly is about 0.0%, with the expected price after the next announcement by competition of 767.80. The company has Price/Earnings To Growth (PEG) ratio of 2.24. Eli Lilly last dividend was issued on the 14th of August 1970. Assuming the 90 days trading horizon the next anticipated press release will be uncertain. Check out Eli Lilly Basic Forecasting Models to cross-verify your projections.Eli Lilly Related Hype Analysis
Having access to credible news sources related to Eli Lilly's direct competition is more important than ever and may enhance your ability to predict Eli Lilly's future price movements. Getting to know how Eli Lilly'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 Eli Lilly may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| LPK | LPKF Laser Electronics | 0.00 | 0 per month | 2.70 | 0.02 | 3.01 | (2.90) | 22.88 | |
| S4M | STORE ELECTRONIC | 0.00 | 0 per month | 1.83 | 0.03 | 3.70 | (3.03) | 10.16 | |
| 7TT | TT Electronics PLC | 0.00 | 0 per month | 2.34 | 0.08 | 3.57 | (3.10) | 37.54 | |
| SGM | STMICROELECTRONICS | 0.00 | 0 per month | 0.00 | (0.05) | 3.31 | (2.64) | 8.85 | |
| MEC | Meiko Electronics Co | 0.00 | 0 per month | 2.07 | 0.17 | 9.21 | (4.27) | 20.01 | |
| SCE | Schweizer Electronic AG | 0.00 | 0 per month | 0.00 | (0.11) | 8.00 | (7.58) | 19.75 | |
| ARW | Arrow Electronics | 0.00 | 0 per month | 0.00 | (0.06) | 2.65 | (2.63) | 13.07 | |
| 1C6 | Corporate Travel Management | 0.00 | 0 per month | 3.04 | 0.04 | 4.55 | (5.95) | 15.91 |
Eli Lilly Additional Predictive Modules
Most predictive techniques to examine Eli price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Eli using various technical indicators. When you analyze Eli 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 Eli Lilly Predictive Indicators
The successful prediction of Eli Lilly 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 Eli Lilly and, 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 Eli Lilly based on analysis of Eli Lilly hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Eli Lilly's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Eli Lilly's related companies.
Story Coverage note for Eli Lilly
The number of cover stories for Eli Lilly depends on current market conditions and Eli Lilly's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Eli Lilly 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 Eli Lilly'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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Eli Lilly Short Properties
Eli Lilly's future price predictability will typically decrease when Eli Lilly's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Eli Lilly and often depends not only on the future outlook of the potential Eli Lilly'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. Eli Lilly's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 953.7 M | |
| Short Long Term Debt | 1.5 B |
Additional Information and Resources on Investing in Eli Stock
When determining whether Eli Lilly offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Eli Lilly's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Eli Lilly And Stock. Outlined below are crucial reports that will aid in making a well-informed decision on Eli Lilly And Stock:Check out Eli Lilly Basic Forecasting Models to cross-verify your projections. You can also try the Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.