SSAW Hotels (China) Price Prediction
| 301073 Stock | 19.53 0.06 0.31% |
Oversold Vs Overbought
41
Oversold | Overbought |
Quarterly Earnings Growth 0.072 | EPS Estimate Current Year 0.16 | EPS Estimate Next Year 0.345 | Wall Street Target Price 56.67 | Quarterly Revenue Growth 0.073 |
Using SSAW Hotels hype-based prediction, you can estimate the value of SSAW Hotels Resorts from the perspective of SSAW Hotels 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 SSAW Hotels to buy its stock at a price that has no basis in reality. In that case, they are not buying SSAW 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.
SSAW Hotels after-hype prediction price | CNY 19.27 |
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.
SSAW |
SSAW Hotels After-Hype Price Prediction Density Analysis
As far as predicting the price of SSAW Hotels 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 SSAW Hotels 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 SSAW Hotels, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
SSAW Hotels Estimiated After-Hype Price Volatility
In the context of predicting SSAW Hotels' stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on SSAW Hotels' historical news coverage. SSAW Hotels' after-hype downside and upside margins for the prediction period are 14.90 and 23.64, respectively. We have considered SSAW Hotels' 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
SSAW Hotels is not too volatile at this time. Analysis and calculation of next after-hype price of SSAW Hotels Resorts is based on 3 months time horizon.
SSAW Hotels Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as SSAW Hotels is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading SSAW Hotels 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 SSAW Hotels, 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 | 4.37 | 0.18 | 0.10 | 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 | ||
19.53 | 19.27 | 1.03 |
|
SSAW Hotels Hype Timeline
SSAW Hotels Resorts is presently traded for 19.53on Shenzhen Stock Exchange of China. The entity has historical hype elasticity of -0.18, and average elasticity to hype of competition of -0.1. SSAW is estimated to decline in value after the next headline, with the price expected to drop to 19.27. 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 -1.03%, whereas the daily expected return is presently at 0.09%. The volatility of related hype on SSAW Hotels is about 385.02%, with the expected price after the next announcement by competition of 19.43. About 64.0% of the company shares are owned by insiders or employees . The book value of SSAW Hotels was presently reported as 4.97. The company last dividend was issued on the 6th of June 2024. SSAW Hotels Resorts had 1.5:1 split on the 9th of June 2023. Assuming the 90 days trading horizon the next estimated press release will be very soon. Check out SSAW Hotels Basic Forecasting Models to cross-verify your projections.SSAW Hotels Related Hype Analysis
Having access to credible news sources related to SSAW Hotels' direct competition is more important than ever and may enhance your ability to predict SSAW Hotels' future price movements. Getting to know how SSAW Hotels' 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 SSAW Hotels may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| 603833 | Oppein Home Group | (1.83) | 4 per month | 3.06 | 0.05 | 5.64 | (5.80) | 14.85 | |
| 688111 | Beijing Kingsoft Office | (8.87) | 2 per month | 0.00 | (0.06) | 8.44 | (5.43) | 17.07 | |
| 688469 | Semiconductor Manufacturing Electronics | (0.22) | 1 per month | 0.00 | (0.03) | 4.40 | (4.33) | 16.58 | |
| 301123 | YiDong Electronics Technology | 0.00 | 0 per month | 3.59 | 0.04 | 5.78 | (6.28) | 13.30 | |
| 300296 | Leyard Optoelectronic | 0.20 | 1 per month | 4.74 | 0.02 | 6.49 | (8.13) | 33.36 | |
| 002119 | Ningbo Kangqiang Electronics | 1.56 | 2 per month | 3.33 | 0.1 | 6.98 | (5.97) | 16.54 | |
| 002798 | DO Home Collection | 0.06 | 1 per month | 0.00 | (0.04) | 4.83 | (9.95) | 20.15 | |
| 603115 | Nantong Haixing Electronics | 0.02 | 1 per month | 0.00 | (0.06) | 4.08 | (3.07) | 9.77 |
SSAW Hotels Additional Predictive Modules
Most predictive techniques to examine SSAW price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for SSAW using various technical indicators. When you analyze SSAW 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 SSAW Hotels Predictive Indicators
The successful prediction of SSAW Hotels 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 SSAW Hotels Resorts, 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 SSAW Hotels based on analysis of SSAW Hotels hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to SSAW Hotels's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to SSAW Hotels's related companies.
Story Coverage note for SSAW Hotels
The number of cover stories for SSAW Hotels depends on current market conditions and SSAW Hotels' risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that SSAW Hotels 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 SSAW Hotels' 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
SSAW Hotels Short Properties
SSAW Hotels' future price predictability will typically decrease when SSAW Hotels' long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of SSAW Hotels Resorts often depends not only on the future outlook of the potential SSAW Hotels' 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. SSAW Hotels' indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 194.5 M |
Complementary Tools for SSAW Stock analysis
When running SSAW Hotels' price analysis, check to measure SSAW Hotels' 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 SSAW Hotels is operating at the current time. Most of SSAW Hotels' value examination focuses on studying past and present price action to predict the probability of SSAW Hotels' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SSAW Hotels' price. Additionally, you may evaluate how the addition of SSAW Hotels to your portfolios can decrease your overall portfolio volatility.
| Content Syndication Quickly integrate customizable finance content to your own investment portal | |
| Portfolio Backtesting Avoid under-diversification and over-optimization by backtesting your portfolios | |
| Commodity Channel Use Commodity Channel Index to analyze current equity momentum |