SICC (China) Price Prediction
| 688234 Stock | 58.00 1.30 2.29% |
Oversold Vs Overbought
49
Oversold | Overbought |
Quarterly Earnings Growth 9.362 | EPS Estimate Next Quarter 0.1 | Wall Street Target Price 62.67 | EPS Estimate Current Quarter 0.08 | Quarterly Revenue Growth (0.05) |
Using SICC hype-based prediction, you can estimate the value of SICC Co from the perspective of SICC 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 SICC to buy its stock at a price that has no basis in reality. In that case, they are not buying SICC 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.
SICC after-hype prediction price | CNY 55.71 |
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.
SICC |
SICC After-Hype Price Prediction Density Analysis
As far as predicting the price of SICC 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 SICC 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 SICC, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
SICC Estimiated After-Hype Price Volatility
In the context of predicting SICC's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on SICC's historical news coverage. SICC's after-hype downside and upside margins for the prediction period are 50.63 and 60.79, respectively. We have considered SICC'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
SICC is very steady at this time. Analysis and calculation of next after-hype price of SICC is based on 3 months time horizon.
SICC Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as SICC is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading SICC 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 SICC, 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 |
0.48 | 5.08 | 0.99 | 0.02 | 3 Events / Month | 1 Events / Month | In about 3 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
58.00 | 55.71 | 1.75 |
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SICC Hype Timeline
SICC is presently traded for 58.00on Shanghai Stock Exchange of China. The entity has historical hype elasticity of -0.99, and average elasticity to hype of competition of 0.02. SICC is forecasted to decline in value after the next headline, with the price expected to drop to 55.71. The average volatility of media hype impact on the company price is over 100%. The price decline on the next news is expected to be -1.75%, whereas the daily expected return is presently at 0.48%. The volatility of related hype on SICC is about 15630.77%, with the expected price after the next announcement by competition of 58.02. About 66.0% of the company shares are owned by insiders or employees . The book value of SICC was presently reported as 12.35. The company had not issued any dividends in recent years. Assuming the 90 days trading horizon the next forecasted press release will be in about 3 days. Check out SICC Basic Forecasting Models to cross-verify your projections.SICC Related Hype Analysis
Having access to credible news sources related to SICC's direct competition is more important than ever and may enhance your ability to predict SICC's future price movements. Getting to know how SICC'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 SICC may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| 600722 | HeBei Jinniu Chemical | 0.47 | 1 per month | 2.94 | 0.16 | 8.96 | (5.03) | 18.79 | |
| 002895 | Guizhou Chanhen Chemical | 0.50 | 2 per month | 2.30 | 0.16 | 6.34 | (3.47) | 18.27 | |
| 600691 | Yangmei Chemical Co | 0.14 | 1 per month | 2.80 | 0.19 | 9.94 | (4.96) | 19.82 | |
| 600141 | Hubei Xingfa Chemicals | (0.81) | 2 per month | 1.98 | 0.10 | 5.25 | (3.02) | 15.16 | |
| 600202 | Harbin Air Conditioning | 0.22 | 1 per month | 2.46 | 0.18 | 3.60 | (3.73) | 16.99 | |
| 601156 | Eastern Air Logistics | (0.26) | 1 per month | 1.90 | 0.07 | 3.64 | (3.65) | 11.08 | |
| 002215 | Shenzhen Noposion Agrochemicals | 0.00 | 0 per month | 2.07 | 0.23 | 5.88 | (4.06) | 14.18 | |
| 002054 | Dymatic Chemicals | 0.00 | 0 per month | 3.05 | 0.15 | 8.28 | (4.96) | 19.61 |
SICC Additional Predictive Modules
Most predictive techniques to examine SICC price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for SICC using various technical indicators. When you analyze SICC 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 SICC Predictive Indicators
The successful prediction of SICC 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 SICC 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 SICC based on analysis of SICC hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to SICC's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to SICC's related companies.
Story Coverage note for SICC
The number of cover stories for SICC depends on current market conditions and SICC's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that SICC 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 SICC'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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SICC Short Properties
SICC's future price predictability will typically decrease when SICC's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of SICC Co often depends not only on the future outlook of the potential SICC'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. SICC's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 429.7 M |
Complementary Tools for SICC Stock analysis
When running SICC's price analysis, check to measure SICC'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 SICC is operating at the current time. Most of SICC's value examination focuses on studying past and present price action to predict the probability of SICC's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SICC's price. Additionally, you may evaluate how the addition of SICC to your portfolios can decrease your overall portfolio volatility.
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