Sungrow Power (China) Price Prediction
| 300274 Stock | 81.28 0.96 1.20% |
Oversold Vs Overbought
39
Oversold | Overbought |
Quarterly Earnings Growth (0.07) | EPS Estimate Current Year 5.517 | EPS Estimate Next Year 6.2134 | Wall Street Target Price 98.9606 | Quarterly Revenue Growth 0.064 |
Using Sungrow Power hype-based prediction, you can estimate the value of Sungrow Power Supply from the perspective of Sungrow Power 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 Sungrow Power to buy its stock at a price that has no basis in reality. In that case, they are not buying Sungrow 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.
Sungrow Power after-hype prediction price | CNY 80.71 |
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.
Sungrow |
Sungrow Power After-Hype Price Prediction Density Analysis
As far as predicting the price of Sungrow Power 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 Sungrow Power 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 Sungrow Power, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Sungrow Power Estimiated After-Hype Price Volatility
In the context of predicting Sungrow Power's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Sungrow Power's historical news coverage. Sungrow Power's after-hype downside and upside margins for the prediction period are 75.64 and 85.78, respectively. We have considered Sungrow Power'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
Sungrow Power is very steady at this time. Analysis and calculation of next after-hype price of Sungrow Power Supply is based on 3 months time horizon.
Sungrow Power Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Sungrow Power is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Sungrow Power 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 Sungrow Power, 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 |
0.24 | 5.07 | 0.57 | 0.06 | 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 | ||
81.28 | 80.71 | 0.70 |
|
Sungrow Power Hype Timeline
Sungrow Power Supply is presently traded for 81.28on Shenzhen Stock Exchange of China. The entity has historical hype elasticity of -0.57, and average elasticity to hype of competition of 0.06. Sungrow is forecasted to decline in value after the next headline, with the price expected to drop to 80.71. 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 -0.7%, whereas the daily expected return is presently at 0.24%. The volatility of related hype on Sungrow Power is about 1998.03%, with the expected price after the next announcement by competition of 81.34. About 35.0% of the company shares are owned by insiders or employees . The book value of Sungrow Power was presently reported as 16.61. The company last dividend was issued on the 13th of June 2024. Sungrow Power Supply had 1.4:1 split on the 13th of June 2024. Assuming the 90 days trading horizon the next forecasted press release will be very soon. Check out Sungrow Power Basic Forecasting Models to cross-verify your projections.Sungrow Power Related Hype Analysis
Having access to credible news sources related to Sungrow Power's direct competition is more important than ever and may enhance your ability to predict Sungrow Power's future price movements. Getting to know how Sungrow Power'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 Sungrow Power may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| 603787 | Jiangsu Xinri E Vehicle | 0.00 | 0 per month | 2.44 | 0.08 | 3.94 | (3.89) | 18.69 | |
| 688589 | Leaguer Shenzhen MicroElectronics | 1.46 | 1 per month | 3.03 | 0.08 | 6.43 | (5.86) | 27.59 | |
| 002119 | Ningbo Kangqiang Electronics | 0.90 | 2 per month | 2.83 | 0.13 | 6.53 | (5.31) | 19.30 | |
| 301039 | CIMC Vehicles Co | (0.33) | 2 per month | 2.71 | 0.08 | 4.51 | (3.70) | 24.95 | |
| 300651 | Jiangsu Jinling Sports | 0.00 | 0 per month | 2.75 | 0.12 | 4.26 | (3.35) | 26.52 | |
| 301379 | Techshine Electronics Co | 0.00 | 0 per month | 3.10 | 0.09 | 4.58 | (4.97) | 26.58 | |
| 301439 | Weihai Honglin Electronic | 0.00 | 0 per month | 2.49 | 0.08 | 4.12 | (4.11) | 21.33 | |
| 900903 | Dazhong Transportation Group | 0.00 | 1 per month | 2.28 | 0.09 | 5.56 | (5.00) | 14.79 |
Sungrow Power Additional Predictive Modules
Most predictive techniques to examine Sungrow price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Sungrow using various technical indicators. When you analyze Sungrow 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 Sungrow Power Predictive Indicators
The successful prediction of Sungrow Power 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 Sungrow Power Supply, 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 Sungrow Power based on analysis of Sungrow Power hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Sungrow Power's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Sungrow Power's related companies.
Story Coverage note for Sungrow Power
The number of cover stories for Sungrow Power depends on current market conditions and Sungrow Power's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Sungrow Power 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 Sungrow Power'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
Sungrow Power Short Properties
Sungrow Power's future price predictability will typically decrease when Sungrow Power's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Sungrow Power Supply often depends not only on the future outlook of the potential Sungrow Power'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. Sungrow Power's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 2.1 B |
Complementary Tools for Sungrow Stock analysis
When running Sungrow Power's price analysis, check to measure Sungrow Power'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 Sungrow Power is operating at the current time. Most of Sungrow Power's value examination focuses on studying past and present price action to predict the probability of Sungrow Power's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Sungrow Power's price. Additionally, you may evaluate how the addition of Sungrow Power to your portfolios can decrease your overall portfolio volatility.
| Theme Ratings Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
| Analyst Advice Analyst recommendations and target price estimates broken down by several categories | |
| Pair Correlation Compare performance and examine fundamental relationship between any two equity instruments | |
| Premium Stories Follow Macroaxis premium stories from verified contributors across different equity types, categories and coverage scope | |
| Portfolio Anywhere Track or share privately all of your investments from the convenience of any device | |
| Bond Analysis Evaluate and analyze corporate bonds as a potential investment for your portfolios. | |
| Portfolio Analyzer Portfolio analysis module that provides access to portfolio diagnostics and optimization engine |