Qiming Information (China) Price Prediction
| 002232 Stock | 19.82 1.50 7.04% |
Oversold Vs Overbought
57
Oversold | Overbought |
Quarterly Earnings Growth (0.44) | Wall Street Target Price 18.21 | Quarterly Revenue Growth (0.56) |
Using Qiming Information hype-based prediction, you can estimate the value of Qiming Information Technology from the perspective of Qiming Information 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 Qiming Information to buy its stock at a price that has no basis in reality. In that case, they are not buying Qiming 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.
Qiming Information after-hype prediction price | CNY 19.82 |
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.
Qiming |
Qiming Information After-Hype Price Prediction Density Analysis
As far as predicting the price of Qiming Information 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 Qiming Information 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 Qiming Information, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Qiming Information Estimiated After-Hype Price Volatility
In the context of predicting Qiming Information's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Qiming Information's historical news coverage. Qiming Information's after-hype downside and upside margins for the prediction period are 14.79 and 24.85, respectively. We have considered Qiming Information'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
Qiming Information is somewhat reliable at this time. Analysis and calculation of next after-hype price of Qiming Information is based on 3 months time horizon.
Qiming Information Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Qiming Information is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Qiming Information 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 Qiming Information, 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 |
0.16 | 5.03 | 0.00 | 0.00 | 0 Events / Month | 2 Events / Month | In 5 to 10 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
19.82 | 19.82 | 0.00 |
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Qiming Information Hype Timeline
Qiming Information is presently traded for 19.82on Shenzhen Stock Exchange of China. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. Qiming is forecasted 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 forecasted to be very small, whereas the daily expected return is presently at 0.16%. %. The volatility of related hype on Qiming Information is about 17344.83%, with the expected price after the next announcement by competition of 19.82. About 57.0% of the company shares are owned by insiders or employees . The company recorded a loss per share of 0.17. Qiming Information last dividend was issued on the 31st of May 2024. The entity had 14:10 split on the 11th of May 2011. Assuming the 90 days trading horizon the next forecasted press release will be in 5 to 10 days. Check out Qiming Information Basic Forecasting Models to cross-verify your projections.Qiming Information Related Hype Analysis
Having access to credible news sources related to Qiming Information's direct competition is more important than ever and may enhance your ability to predict Qiming Information's future price movements. Getting to know how Qiming Information'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 Qiming Information may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| 601398 | Industrial and Commercial | (0.04) | 2 per month | 1.00 | 0.18 | 2.83 | (1.71) | 8.14 | |
| 601288 | Agricultural Bank of | 0.00 | 0 per month | 1.12 | 0.15 | 2.98 | (1.89) | 7.78 | |
| 601939 | China Construction Bank | 0.01 | 2 per month | 1.16 | 0.18 | 3.32 | (1.93) | 8.64 | |
| 601988 | Bank of China | 0.02 | 3 per month | 0.93 | 0.16 | 2.67 | (1.98) | 7.70 | |
| 601658 | Postal Savings Bank | (0.01) | 2 per month | 1.32 | 0.15 | 3.49 | (2.23) | 9.13 | |
| 601328 | Bank of Communications | (0.03) | 2 per month | 1.23 | 0.12 | 3.26 | (2.12) | 10.82 | |
| 600036 | China Merchants Bank | (0.24) | 2 per month | 1.76 | 0.15 | 4.65 | (2.56) | 13.83 | |
| 601166 | Industrial Bank Co | 0.05 | 2 per month | 1.49 | 0.12 | 3.84 | (2.41) | 12.07 | |
| 601998 | China Citic Bank | (0.05) | 2 per month | 1.81 | 0.12 | 3.02 | (2.37) | 13.33 | |
| 600000 | Shanghai Pudong Development | 0.00 | 0 per month | 1.27 | 0.16 | 3.69 | (2.14) | 10.95 |
Qiming Information Additional Predictive Modules
Most predictive techniques to examine Qiming price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Qiming using various technical indicators. When you analyze Qiming 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 Qiming Information Predictive Indicators
The successful prediction of Qiming Information 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 Qiming Information Technology, 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 Qiming Information based on analysis of Qiming Information hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Qiming Information's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Qiming Information's related companies.
Story Coverage note for Qiming Information
The number of cover stories for Qiming Information depends on current market conditions and Qiming Information's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Qiming Information 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 Qiming Information's long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
Other Macroaxis Stories
Our audience includes start-ups and big corporations as well as marketing, public relation firms, and advertising agencies, including technology and finance journalists. Our platform and its news and story outlet are popular among finance students, amateur traders, self-guided investors, entrepreneurs, retirees and baby boomers, academic researchers, financial advisers, as well as professional money managers - a very diverse and influential demographic landscape united by one goal - build optimal investment portfolios
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Qiming Information Short Properties
Qiming Information's future price predictability will typically decrease when Qiming Information's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Qiming Information Technology often depends not only on the future outlook of the potential Qiming Information'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. Qiming Information's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 408.5 M | |
| Cash And Short Term Investments | 865.3 M |
Complementary Tools for Qiming Stock analysis
When running Qiming Information's price analysis, check to measure Qiming Information'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 Qiming Information is operating at the current time. Most of Qiming Information's value examination focuses on studying past and present price action to predict the probability of Qiming Information's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Qiming Information's price. Additionally, you may evaluate how the addition of Qiming Information to your portfolios can decrease your overall portfolio volatility.
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