Financial Street (China) Price Prediction
| 000402 Stock | 3.48 0.01 0.29% |
Oversold Vs Overbought
60
Oversold | Overbought |
Quarterly Earnings Growth (0.53) | Wall Street Target Price 4.46 | Quarterly Revenue Growth (0.21) |
Using Financial Street hype-based prediction, you can estimate the value of Financial Street Holdings from the perspective of Financial Street 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 Financial Street to buy its stock at a price that has no basis in reality. In that case, they are not buying Financial 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.
Financial Street after-hype prediction price | CNY 3.49 |
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.
Financial |
Financial Street After-Hype Price Prediction Density Analysis
As far as predicting the price of Financial Street 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 Financial Street 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 Financial Street, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Financial Street Estimiated After-Hype Price Volatility
In the context of predicting Financial Street's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Financial Street's historical news coverage. Financial Street's after-hype downside and upside margins for the prediction period are 0.17 and 8.01, respectively. We have considered Financial Street'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
Financial Street is very risky at this time. Analysis and calculation of next after-hype price of Financial Street Holdings is based on 3 months time horizon.
Financial Street Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Financial Street is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Financial Street 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 Financial Street, 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 |
0.09 | 4.52 | 0.01 | 0.13 | 2 Events / Month | 2 Events / Month | In a few days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
3.48 | 3.49 | 0.29 |
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Financial Street Hype Timeline
Financial Street Holdings is presently traded for 3.48on Shenzhen Stock Exchange of China. The entity has historical hype elasticity of 0.01, and average elasticity to hype of competition of -0.13. Financial is forecasted to increase in value after the next headline, with the price projected to jump to 3.49 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 0.29%, whereas the daily expected return is presently at 0.09%. The volatility of related hype on Financial Street is about 324.25%, with the expected price after the next announcement by competition of 3.35. The company reported the revenue of 12.57 B. Net Loss for the year was (1.95 B) with profit before overhead, payroll, taxes, and interest of 2.84 B. Assuming the 90 days trading horizon the next forecasted press release will be in a few days. Check out Financial Street Basic Forecasting Models to cross-verify your projections.Financial Street Related Hype Analysis
Having access to credible news sources related to Financial Street's direct competition is more important than ever and may enhance your ability to predict Financial Street's future price movements. Getting to know how Financial Street'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 Financial Street may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| 601857 | PetroChina Co Ltd | (0.09) | 2 per month | 1.80 | 0.08 | 3.55 | (2.01) | 17.17 | |
| 600941 | China Mobile Limited | 0.71 | 2 per month | 0.95 | 0.11 | 3.09 | (2.04) | 8.38 | |
| 600938 | CNOOC Limited | 0.16 | 3 per month | 1.87 | 0.06 | 3.83 | (2.13) | 16.49 | |
| 601318 | Ping An Insurance | 0.49 | 1 per month | 1.94 | 0.1 | 5.83 | (2.88) | 19.77 | |
| 600028 | China Petroleum Chemical | 0.05 | 2 per month | 1.58 | 0.03 | 2.51 | (1.89) | 10.77 | |
| 601728 | China Telecom Corp | 0.10 | 2 per month | 1.56 | 0.14 | 3.49 | (2.45) | 11.12 | |
| 601668 | China State Construction | (0.02) | 4 per month | 2.16 | 0.11 | 5.25 | (3.67) | 15.78 | |
| 600519 | Kweichow Moutai Co | (13.91) | 2 per month | 1.57 | 0.10 | 6.55 | (2.41) | 16.71 | |
| 601088 | China Shenhua Energy | (1.26) | 2 per month | 1.57 | 0.06 | 4.28 | (2.66) | 10.24 | |
| 601628 | China Life Insurance | (0.17) | 2 per month | 2.55 | 0.09 | 6.42 | (3.94) | 20.00 |
Financial Street Additional Predictive Modules
Most predictive techniques to examine Financial price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Financial using various technical indicators. When you analyze Financial 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 Financial Street Predictive Indicators
The successful prediction of Financial Street 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 Financial Street Holdings, 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 Financial Street based on analysis of Financial Street hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Financial Street's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Financial Street's related companies.
Story Coverage note for Financial Street
The number of cover stories for Financial Street depends on current market conditions and Financial Street's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Financial Street 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 Financial Street'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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Financial Street Short Properties
Financial Street's future price predictability will typically decrease when Financial Street's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Financial Street Holdings often depends not only on the future outlook of the potential Financial Street'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. Financial Street's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 3 B |
Complementary Tools for Financial Stock analysis
When running Financial Street's price analysis, check to measure Financial Street'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 Financial Street is operating at the current time. Most of Financial Street's value examination focuses on studying past and present price action to predict the probability of Financial Street's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Financial Street's price. Additionally, you may evaluate how the addition of Financial Street to your portfolios can decrease your overall portfolio volatility.
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