Ming Le (Germany) Price Prediction
| ML2 Stock | EUR 1.20 0.10 7.69% |
Oversold Vs Overbought
71
Oversold | Overbought |
Using Ming Le hype-based prediction, you can estimate the value of Ming Le Sports from the perspective of Ming Le 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 Ming Le to buy its stock at a price that has no basis in reality. In that case, they are not buying Ming 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.
Ming Le after-hype prediction price | EUR 1.2 |
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.
Ming |
Ming Le After-Hype Price Prediction Density Analysis
As far as predicting the price of Ming Le 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 Ming Le 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 Ming Le, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Ming Le Estimiated After-Hype Price Volatility
In the context of predicting Ming Le's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Ming Le's historical news coverage. Ming Le's after-hype downside and upside margins for the prediction period are 0.06 and 6.64, respectively. We have considered Ming Le'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
Ming Le is extremely dangerous at this time. Analysis and calculation of next after-hype price of Ming Le Sports is based on 3 months time horizon.
Ming Le Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Ming Le is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Ming Le 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 Ming Le, 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 |
0.33 | 5.44 | 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 | ||
1.20 | 1.20 | 0.00 |
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Ming Le Hype Timeline
Ming Le Sports is now traded for 1.20on Frankfurt Exchange of Germany. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Ming 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 now at 0.33%. %. The volatility of related hype on Ming Le is about 0.0%, with the expected price after the next announcement by competition of 1.20. About 35.0% of the company shares are owned by institutional investors. The book value of Ming Le was now reported as 0.64. The company recorded a loss per share of 0.02. Ming Le Sports had not issued any dividends in recent years. The entity had 1:5 split on the 1st of June 2018. Assuming the 90 days horizon the next estimated press release will be uncertain. Check out Ming Le Basic Forecasting Models to cross-verify your projections.Ming Le Related Hype Analysis
Having access to credible news sources related to Ming Le's direct competition is more important than ever and may enhance your ability to predict Ming Le's future price movements. Getting to know how Ming Le'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 Ming Le may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| HMSA | HM HENMAUUNSPADR 15 | 0.00 | 0 per month | 0.00 | (0.14) | 3.13 | (2.99) | 10.27 | |
| HMSB | H M Hennes | 0.00 | 0 per month | 2.16 | 0.02 | 4.30 | (3.71) | 28.65 | |
| HMSB | H M Hennes | 0.00 | 0 per month | 1.98 | 0.04 | 3.51 | (2.94) | 30.57 | |
| MOV | Moncler SpA | 0.00 | 0 per month | 1.91 | (0.01) | 3.27 | (3.35) | 14.69 | |
| VFP | VF Corporation | 0.00 | 0 per month | 2.87 | 0.08 | 6.70 | (4.72) | 31.58 | |
| PRL | Ralph Lauren | 0.00 | 0 per month | 1.05 | 0.18 | 4.34 | (1.97) | 10.41 | |
| LV2B | Levi Strauss Co | 0.00 | 0 per month | 0.00 | (0.06) | 3.32 | (2.77) | 14.39 | |
| 3BD | Bosideng International Holdings | 0.00 | 0 per month | 3.28 | 0.12 | 9.09 | (6.25) | 20.71 | |
| MKO | Capri Holdings Limited | 0.00 | 0 per month | 0.00 | (0.08) | 6.98 | (4.18) | 54.91 | |
| VGA | Gildan Activewear | 0.00 | 0 per month | 0.79 | 0.11 | 1.83 | (1.68) | 4.74 |
Ming Le Additional Predictive Modules
Most predictive techniques to examine Ming price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Ming using various technical indicators. When you analyze Ming 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 Ming Le Predictive Indicators
The successful prediction of Ming Le 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 Ming Le Sports, 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 Ming Le based on analysis of Ming Le hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Ming Le's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Ming Le's related companies.
Story Coverage note for Ming Le
The number of cover stories for Ming Le depends on current market conditions and Ming Le's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Ming Le 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 Ming Le'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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Ming Le Short Properties
Ming Le's future price predictability will typically decrease when Ming Le's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Ming Le Sports often depends not only on the future outlook of the potential Ming Le'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. Ming Le's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 3.1 M | |
| Shares Float | 2.7 M |
Complementary Tools for Ming Stock analysis
When running Ming Le's price analysis, check to measure Ming Le'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 Ming Le is operating at the current time. Most of Ming Le's value examination focuses on studying past and present price action to predict the probability of Ming Le's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Ming Le's price. Additionally, you may evaluate how the addition of Ming Le to your portfolios can decrease your overall portfolio volatility.
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