Bus Online (China) Price Prediction
002188 Stock | 4.75 0.23 4.62% |
Oversold Vs Overbought
62
Oversold | Overbought |
Quarterly Earnings Growth 0.051 | Wall Street Target Price 50 | Quarterly Revenue Growth 0.02 |
Using Bus Online hype-based prediction, you can estimate the value of Bus Online Co from the perspective of Bus Online 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 Bus Online to buy its stock at a price that has no basis in reality. In that case, they are not buying Bus 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.
Bus Online after-hype prediction price | CNY 4.8 |
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.
Bus |
Bus Online After-Hype Price Prediction Density Analysis
As far as predicting the price of Bus Online 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 Bus Online 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 Bus Online, with the unreliable approximations that try to describe financial returns.
Next price density |
Expected price to next headline |
Bus Online Estimiated After-Hype Price Volatility
In the context of predicting Bus Online's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Bus Online's historical news coverage. Bus Online's after-hype downside and upside margins for the prediction period are 1.93 and 7.67, respectively. We have considered Bus Online'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
Bus Online is moderately volatile at this time. Analysis and calculation of next after-hype price of Bus Online is based on 3 months time horizon.
Bus Online Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Bus Online is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Bus Online 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 Bus Online, 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 |
0.38 | 2.87 | 0.05 | 0.03 | 2 Events / Month | 1 Events / Month | In a few days |
Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
4.75 | 4.80 | 1.05 |
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Bus Online Hype Timeline
Bus Online is presently traded for 4.75on Shenzhen Stock Exchange of China. The entity has historical hype elasticity of 0.05, and average elasticity to hype of competition of 0.03. Bus is estimated to increase in value after the next headline, with the price projected to jump to 4.8 or above. The average volatility of media hype impact on the company the price is over 100%. The price jump on the next news is forecasted to be 1.05%, whereas the daily expected return is presently at 0.38%. The volatility of related hype on Bus Online is about 3776.32%, with the expected price after the next announcement by competition of 4.78. The company reported the revenue of 339.84 M. Net Income was 20.22 M with profit before overhead, payroll, taxes, and interest of 89.51 M. Assuming the 90 days trading horizon the next estimated press release will be in a few days. Check out Bus Online Basic Forecasting Models to cross-verify your projections.Bus Online Related Hype Analysis
Having access to credible news sources related to Bus Online's direct competition is more important than ever and may enhance your ability to predict Bus Online's future price movements. Getting to know how Bus Online'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 Bus Online may potentially react to the hype associated with one of its peers.
HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
002303 | Shenzhen MYS Environmental | 0.00 | 0 per month | 2.26 | 0.25 | 7.14 | (3.79) | 20.02 | |
508096 | AVIC Fund Management | 0.04 | 1 per month | 0.22 | (0.32) | 0.71 | (0.41) | 1.83 | |
300533 | Shenzhen Bingchuan Network | 0.00 | 0 per month | 4.50 | 0.11 | 6.84 | (5.89) | 31.00 | |
180401 | Penghua Shenzhen Energy | 0.00 | 0 per month | 0.00 | (0.35) | 0.66 | (0.82) | 2.55 | |
000937 | Jizhong Energy Resources | 0.07 | 2 per month | 2.14 | 0.06 | 4.15 | (3.30) | 16.15 | |
605377 | Hangzhou Huawang New | 0.72 | 1 per month | 2.28 | (0.01) | 5.50 | (2.49) | 16.81 | |
605368 | Henan Lantian Gas | 0.00 | 0 per month | 0.00 | (0.13) | 3.02 | (3.98) | 14.31 | |
508028 | China Fund Management | (0.07) | 4 per month | 0.00 | (0.44) | 0.60 | (0.59) | 1.89 | |
200625 | Chongqing Changan Automobile | 0.00 | 0 per month | 2.08 | (0.06) | 3.36 | (3.07) | 10.02 | |
000983 | Shanxi Xishan Coal | 0.00 | 0 per month | 2.31 | (0.01) | 5.00 | (3.16) | 18.25 |
Bus Online Additional Predictive Modules
Most predictive techniques to examine Bus price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Bus using various technical indicators. When you analyze Bus 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 Bus Online Predictive Indicators
The successful prediction of Bus Online 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 Bus Online Co, 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 Bus Online based on analysis of Bus Online hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Bus Online's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Bus Online's related companies.
Story Coverage note for Bus Online
The number of cover stories for Bus Online depends on current market conditions and Bus Online's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Bus Online 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 Bus Online'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
Story Categories
Currently Trending Categories
Bus Online Short Properties
Bus Online's future price predictability will typically decrease when Bus Online's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Bus Online Co often depends not only on the future outlook of the potential Bus Online'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. Bus Online's indicators that are reflective of the short sentiment are summarized in the table below.
Common Stock Shares Outstanding | 292.5 M |
Complementary Tools for Bus Stock analysis
When running Bus Online's price analysis, check to measure Bus Online'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 Bus Online is operating at the current time. Most of Bus Online's value examination focuses on studying past and present price action to predict the probability of Bus Online's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Bus Online's price. Additionally, you may evaluate how the addition of Bus Online to your portfolios can decrease your overall portfolio volatility.
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