Li Ning (Germany) Price Prediction
| LNLB Stock | EUR 1.91 0.09 4.50% |
Oversold Vs Overbought
59
Oversold | Overbought |
Using Li Ning hype-based prediction, you can estimate the value of Li Ning Company from the perspective of Li Ning 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 Li Ning to buy its stock at a price that has no basis in reality. In that case, they are not buying LNLB 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.
Li Ning after-hype prediction price | EUR 1.91 |
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.
LNLB |
Li Ning After-Hype Price Prediction Density Analysis
As far as predicting the price of Li Ning 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 Li Ning 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 Li Ning, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Li Ning Estimiated After-Hype Price Volatility
In the context of predicting Li Ning's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Li Ning's historical news coverage. Li Ning's after-hype downside and upside margins for the prediction period are 0.10 and 8.26, respectively. We have considered Li Ning'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
Li Ning is dangerous at this time. Analysis and calculation of next after-hype price of Li Ning Company is based on 3 months time horizon.
Li Ning Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Li Ning is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Li Ning 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 Li Ning, 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 |
0.91 | 6.35 | 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 | ||
1.91 | 1.91 | 0.00 |
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Li Ning Hype Timeline
Li Ning Company is now traded for 1.91on Frankfurt Exchange of Germany. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. LNLB is expected 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 expected to be very small, whereas the daily expected return is now at 0.91%. %. The volatility of related hype on Li Ning is about 0.0%, with the expected price after the next announcement by competition of 1.91. About 47.0% of the company shares are owned by institutional investors. The company last dividend was issued on the 17th of June 2022. Assuming the 90 days trading horizon the next expected press release will be uncertain. Check out Li Ning Basic Forecasting Models to cross-verify your projections.Li Ning Related Hype Analysis
Having access to credible news sources related to Li Ning's direct competition is more important than ever and may enhance your ability to predict Li Ning's future price movements. Getting to know how Li Ning'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 Li Ning may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| LLC | Lendlease Group | 0.00 | 0 per month | 1.23 | (0.04) | 2.46 | (2.30) | 5.95 | |
| PL0 | Playa Hotels Resorts | 0.00 | 0 per month | 1.29 | 0.15 | 3.65 | (2.19) | 15.83 | |
| HMT | Host Hotels Resorts | 0.00 | 0 per month | 1.26 | 0.04 | 2.47 | (2.45) | 11.81 | |
| HIP | Park Hotels Resorts | 0.00 | 0 per month | 1.35 | 0.03 | 3.20 | (2.27) | 10.63 | |
| FXL | FUYO GENERAL LEASE | 0.00 | 0 per month | 0.00 | (0.11) | 2.21 | (2.17) | 6.42 | |
| 37H | Global Ship Lease | 0.00 | 0 per month | 0.00 | (0.11) | 2.98 | (2.62) | 9.11 | |
| ALG | ALBIS LEASING AG | 0.00 | 0 per month | 0.00 | 0.01 | 0.76 | (0.71) | 7.88 | |
| T6W | Thai Beverage Public | 0.00 | 0 per month | 2.60 | 0.02 | 5.71 | (5.26) | 14.13 |
Li Ning Additional Predictive Modules
Most predictive techniques to examine LNLB price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for LNLB using various technical indicators. When you analyze LNLB 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 Li Ning Predictive Indicators
The successful prediction of Li Ning 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 Li Ning Company, 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 Li Ning based on analysis of Li Ning hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Li Ning's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Li Ning's related companies.
Story Coverage note for Li Ning
The number of cover stories for Li Ning depends on current market conditions and Li Ning's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Li Ning 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 Li Ning'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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Li Ning Short Properties
Li Ning's future price predictability will typically decrease when Li Ning's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Li Ning Company often depends not only on the future outlook of the potential Li Ning'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. Li Ning's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 2.6 B |
Complementary Tools for LNLB Stock analysis
When running Li Ning's price analysis, check to measure Li Ning'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 Li Ning is operating at the current time. Most of Li Ning's value examination focuses on studying past and present price action to predict the probability of Li Ning's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Li Ning's price. Additionally, you may evaluate how the addition of Li Ning to your portfolios can decrease your overall portfolio volatility.
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