Suofeiya Home (China) Price Prediction
| 002572 Stock | 18.20 0.96 5.01% |
Oversold Vs Overbought
58
Oversold | Overbought |
Quarterly Earnings Growth (0.26) | EPS Estimate Current Year 1.34 | EPS Estimate Next Year 1.46 | Wall Street Target Price 18.06 | EPS Estimate Current Quarter 0.43 |
Using Suofeiya Home hype-based prediction, you can estimate the value of Suofeiya Home Collection from the perspective of Suofeiya Home 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 Suofeiya Home to buy its stock at a price that has no basis in reality. In that case, they are not buying Suofeiya 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.
Suofeiya Home after-hype prediction price | CNY 18.7 |
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.
Suofeiya |
Suofeiya Home After-Hype Price Prediction Density Analysis
As far as predicting the price of Suofeiya Home 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 Suofeiya Home 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 Suofeiya Home, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Suofeiya Home Estimiated After-Hype Price Volatility
In the context of predicting Suofeiya Home's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Suofeiya Home's historical news coverage. Suofeiya Home's after-hype downside and upside margins for the prediction period are 14.89 and 22.51, respectively. We have considered Suofeiya Home'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
Suofeiya Home is not too volatile at this time. Analysis and calculation of next after-hype price of Suofeiya Home Collection is based on 3 months time horizon.
Suofeiya Home Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Suofeiya Home is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Suofeiya Home 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 Suofeiya Home, 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 |
0.69 | 3.81 | 0.50 | 0.09 | 1 Events / Month | 1 Events / Month | Very soon |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
18.20 | 18.70 | 2.75 |
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Suofeiya Home Hype Timeline
Suofeiya Home Collection is presently traded for 18.20on Shenzhen Stock Exchange of China. The entity has historical hype elasticity of 0.5, and average elasticity to hype of competition of 0.09. Suofeiya is forecasted to increase in value after the next headline, with the price projected to jump to 18.7 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 2.75%, whereas the daily expected return is presently at 0.69%. The volatility of related hype on Suofeiya Home is about 2864.66%, with the expected price after the next announcement by competition of 18.29. Suofeiya Home Collection has accumulated 2.02 B in total debt. Assuming the 90 days trading horizon the next forecasted press release will be very soon. Check out Suofeiya Home Basic Forecasting Models to cross-verify your projections.Suofeiya Home Related Hype Analysis
Having access to credible news sources related to Suofeiya Home's direct competition is more important than ever and may enhance your ability to predict Suofeiya Home's future price movements. Getting to know how Suofeiya Home'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 Suofeiya Home may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| 605259 | Lutian Machinery Co | 0.00 | 0 per month | 2.11 | 0.12 | 3.35 | (3.43) | 14.98 | |
| 001289 | China Longyuan Power | (0.01) | 4 per month | 2.10 | 0.05 | 4.14 | (2.98) | 16.59 | |
| 601857 | PetroChina Co Ltd | (0.09) | 2 per month | 1.97 | (0.03) | 3.55 | (2.04) | 17.17 | |
| 601988 | Bank of China | 0.03 | 3 per month | 1.17 | 0.03 | 2.67 | (2.33) | 7.70 | |
| 600236 | Guangxi Guiguan Electric | 0.00 | 0 per month | 1.82 | 0.03 | 2.83 | (2.50) | 13.85 | |
| 605198 | Yantai North Andre | 2.21 | 2 per month | 3.16 | 0.12 | 6.21 | (4.28) | 19.98 | |
| 600025 | Huaneng Lancang River | (0.23) | 1 per month | 0.00 | (0.16) | 2.17 | (3.05) | 10.45 | |
| 300600 | Changshu Ruite Electric | 0.00 | 0 per month | 2.79 | 0.17 | 3.88 | (5.09) | 20.86 | |
| 301177 | DR Limited | (0.53) | 4 per month | 2.37 | 0.13 | 6.17 | (3.64) | 23.31 | |
| 601998 | China Citic Bank | (0.05) | 2 per month | 1.85 | 0.06 | 3.02 | (2.66) | 13.33 |
Suofeiya Home Additional Predictive Modules
Most predictive techniques to examine Suofeiya price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Suofeiya using various technical indicators. When you analyze Suofeiya 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 Suofeiya Home Predictive Indicators
The successful prediction of Suofeiya Home 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 Suofeiya Home Collection, 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 Suofeiya Home based on analysis of Suofeiya Home hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Suofeiya Home's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Suofeiya Home's related companies.
Story Coverage note for Suofeiya Home
The number of cover stories for Suofeiya Home depends on current market conditions and Suofeiya Home's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Suofeiya Home 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 Suofeiya Home'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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Suofeiya Home Short Properties
Suofeiya Home's future price predictability will typically decrease when Suofeiya Home's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Suofeiya Home Collection often depends not only on the future outlook of the potential Suofeiya Home'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. Suofeiya Home's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 963 M |
Complementary Tools for Suofeiya Stock analysis
When running Suofeiya Home's price analysis, check to measure Suofeiya Home'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 Suofeiya Home is operating at the current time. Most of Suofeiya Home's value examination focuses on studying past and present price action to predict the probability of Suofeiya Home's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Suofeiya Home's price. Additionally, you may evaluate how the addition of Suofeiya Home to your portfolios can decrease your overall portfolio volatility.
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