Semiconductor Manufacturing (China) Price Prediction
| 688469 Stock | 5.90 0.14 2.43% |
Oversold Vs Overbought
56
Oversold | Overbought |
EPS Estimate Next Quarter (0.04) | Wall Street Target Price 4.1 | Quarterly Revenue Growth 0.272 |
Using Semiconductor Manufacturing hype-based prediction, you can estimate the value of Semiconductor Manufacturing Electronics from the perspective of Semiconductor Manufacturing 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 Semiconductor Manufacturing to buy its stock at a price that has no basis in reality. In that case, they are not buying Semiconductor 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.
Semiconductor Manufacturing after-hype prediction price | CNY 5.57 |
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.
Semiconductor |
Semiconductor Manufacturing After-Hype Price Prediction Density Analysis
As far as predicting the price of Semiconductor Manufacturing 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 Semiconductor Manufacturing 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 Semiconductor Manufacturing, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Semiconductor Manufacturing Estimiated After-Hype Price Volatility
In the context of predicting Semiconductor Manufacturing's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Semiconductor Manufacturing's historical news coverage. Semiconductor Manufacturing's after-hype downside and upside margins for the prediction period are 1.38 and 9.76, respectively. We have considered Semiconductor Manufacturing'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
Semiconductor Manufacturing is moderately volatile at this time. Analysis and calculation of next after-hype price of Semiconductor Manufacturing is based on 3 months time horizon.
Semiconductor Manufacturing Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Semiconductor Manufacturing is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Semiconductor Manufacturing 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 Semiconductor Manufacturing, 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 |
0.95 | 4.19 | 0.33 | 0.06 | 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 | ||
5.90 | 5.57 | 5.59 |
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Semiconductor Manufacturing Hype Timeline
Semiconductor Manufacturing is presently traded for 5.90on Shanghai Stock Exchange of China. The entity has historical hype elasticity of -0.33, and average elasticity to hype of competition of 0.06. Semiconductor is forecasted to decline in value after the next headline, with the price expected to drop to 5.57. 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 -5.59%, whereas the daily expected return is presently at 0.95%. The volatility of related hype on Semiconductor Manufacturing is about 6240.43%, with the expected price after the next announcement by competition of 5.96. About 46.0% of the company shares are owned by insiders or employees . The book value of Semiconductor Manufacturing was presently reported as 1.69. The company recorded a loss per share of 0.19. Semiconductor Manufacturing had not issued any dividends in recent years. Assuming the 90 days trading horizon the next forecasted press release will be in a few days. Check out Semiconductor Manufacturing Basic Forecasting Models to cross-verify your projections.Semiconductor Manufacturing Related Hype Analysis
Having access to credible news sources related to Semiconductor Manufacturing's direct competition is more important than ever and may enhance your ability to predict Semiconductor Manufacturing's future price movements. Getting to know how Semiconductor Manufacturing'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 Semiconductor Manufacturing may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| 000799 | Jiugui Liquor Co | 0.24 | 2 per month | 2.53 | 0.16 | 10.00 | (4.14) | 19.06 | |
| 002156 | TongFu Microelectronics Co | 0.00 | 0 per month | 2.95 | 0.14 | 10.00 | (5.77) | 19.93 | |
| 301379 | Techshine Electronics Co | 0.00 | 0 per month | 3.10 | 0.09 | 4.58 | (4.97) | 26.58 | |
| 300439 | Ningbo MedicalSystem Biotechnology | 0.03 | 1 per month | 2.45 | 0.09 | 4.72 | (3.34) | 23.23 | |
| 003042 | Shandong Sino Agri United | 0.00 | 0 per month | 2.64 | 0.18 | 9.98 | (4.32) | 18.32 | |
| 300296 | Leyard Optoelectronic | 0.20 | 1 per month | 3.47 | 0.04 | 5.68 | (4.89) | 27.58 | |
| 603078 | Jiangyin Jianghua Microelectronics | 0.00 | 5 per month | 2.69 | 0.16 | 9.98 | (4.64) | 15.50 |
Semiconductor Manufacturing Additional Predictive Modules
Most predictive techniques to examine Semiconductor price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Semiconductor using various technical indicators. When you analyze Semiconductor 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 Semiconductor Manufacturing Predictive Indicators
The successful prediction of Semiconductor Manufacturing 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 Semiconductor Manufacturing Electronics, 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 Semiconductor Manufacturing based on analysis of Semiconductor Manufacturing hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Semiconductor Manufacturing's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Semiconductor Manufacturing's related companies.
Story Coverage note for Semiconductor Manufacturing
The number of cover stories for Semiconductor Manufacturing depends on current market conditions and Semiconductor Manufacturing's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Semiconductor Manufacturing 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 Semiconductor Manufacturing'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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Complementary Tools for Semiconductor Stock analysis
When running Semiconductor Manufacturing's price analysis, check to measure Semiconductor Manufacturing'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 Semiconductor Manufacturing is operating at the current time. Most of Semiconductor Manufacturing's value examination focuses on studying past and present price action to predict the probability of Semiconductor Manufacturing's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Semiconductor Manufacturing's price. Additionally, you may evaluate how the addition of Semiconductor Manufacturing to your portfolios can decrease your overall portfolio volatility.
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