China Coal Energy Stock Price Prediction
| CCOZY Stock | USD 20.00 0.00 0.00% |
Oversold Vs Overbought
23
Oversold | Overbought |
China Coal Energy stock price prediction is an act of determining the future value of China Coal shares using few different conventional methods such as EPS estimation, analyst consensus, or fundamental intrinsic valuation. The successful prediction of China Coal's future price could yield a significant profit. Please, note that this module is not intended to be used solely to calculate an intrinsic value of China Coal and does not consider all of the tangible or intangible factors available from China Coal's fundamental data. We analyze noise-free headlines and recent hype associated with China Coal Energy, which may create opportunities for some arbitrage if properly timed.
It is a matter of debate whether pink sheet price prediction based on information in financial news can generate a strong buy or sell signal. We use our internally-built news screening methodology to estimate the value of China Coal based on different types of headlines from major news networks to social media. The China stock price prediction module provides an analysis of price elasticity to changes in media outlook on China Coal over a specific investment horizon. Using China Coal hype-based prediction, you can estimate the value of China Coal Energy from the perspective of China Coal response to recently generated media hype and the effects of current headlines on its competitors.
This module is based on analyzing investor sentiment around taking a position in China Coal. This speculative approach is based exclusively on the idea that markets are driven by emotions such as investor fear and greed. The fear of missing out, i.e., FOMO, can cause potential investors in China Coal to buy its pink sheet at a price that has no basis in reality. In that case, they are not buying China 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 pink sheets at prices well below their value during bear markets because they need to stop feeling the pain of losing money.
China Coal after-hype prediction price | USD 20.0 |
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 pink sheet price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
China |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of China Coal's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
China Coal After-Hype Price Prediction Density Analysis
As far as predicting the price of China Coal 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 China Coal 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 Pink Sheet prices, such as prices of China Coal, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
China Coal Estimiated After-Hype Price Volatility
In the context of predicting China Coal's pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on China Coal's historical news coverage. China Coal's after-hype downside and upside margins for the prediction period are 14.83 and 25.17, respectively. We have considered China Coal'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
China Coal is somewhat reliable at this time. Analysis and calculation of next after-hype price of China Coal Energy is based on 3 months time horizon.
China Coal Pink Sheet Price Prediction Analysis
Have you ever been surprised when a price of a Company such as China Coal is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading China Coal 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 Pink Sheet 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 China Coal, 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 |
0.44 | 5.22 | 0.00 | 0.28 | 0 Events / Month | 1 Events / Month | In 5 to 10 days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
20.00 | 20.00 | 0.00 |
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China Coal Hype Timeline
China Coal Energy is currently traded for 20.00. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.28. China is forecasted not to react to the next headline, with the price staying at about the same level, and average media hype impact volatility is insignificant. The immediate return on the next news is forecasted to be very small, whereas the daily expected return is currently at 0.44%. %. The volatility of related hype on China Coal is about 832.98%, with the expected price after the next announcement by competition of 20.28. The company has price-to-book (P/B) ratio of 0.57. Some equities with similar Price to Book (P/B) outperform the market in the long run. China Coal Energy has Price/Earnings To Growth (PEG) ratio of 1.11. The entity last dividend was issued on the 23rd of June 2022. Assuming the 90 days horizon the next forecasted press release will be in 5 to 10 days. Check out China Coal Basic Forecasting Models to cross-verify your projections.China Coal Related Hype Analysis
Having access to credible news sources related to China Coal's direct competition is more important than ever and may enhance your ability to predict China Coal's future price movements. Getting to know how China Coal'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 China Coal may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| YZCAY | Yanzhou Coal Mining | 0.00 | 0 per month | 1.73 | 0.08 | 3.90 | (4.03) | 16.23 | |
| YACAF | Yancoal Australia | 0.00 | 0 per month | 2.66 | 0.05 | 5.71 | (4.72) | 18.17 | |
| CEIX | Consol Energy | 1.88 | 11 per month | 0.00 | (0.12) | 3.60 | (4.92) | 11.62 |
China Coal Additional Predictive Modules
Most predictive techniques to examine China price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for China using various technical indicators. When you analyze China 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 China Coal Predictive Indicators
The successful prediction of China Coal 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 China Coal Energy, 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 China Coal based on analysis of China Coal hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to China Coal's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to China Coal's related companies. Story Coverage note for China Coal
The number of cover stories for China Coal depends on current market conditions and China Coal's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that China Coal 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 China Coal'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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China Coal Short Properties
China Coal's future price predictability will typically decrease when China Coal's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of China Coal Energy often depends not only on the future outlook of the potential China Coal'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. China Coal's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 13.3 B |
Check out China Coal Basic Forecasting Models to cross-verify your projections. Note that the China Coal Energy information on this page should be used as a complementary analysis to other China Coal's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio File Import module to quickly import all of your third-party portfolios from your local drive in csv format.
Complementary Tools for China Pink Sheet analysis
When running China Coal's price analysis, check to measure China Coal'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 China Coal is operating at the current time. Most of China Coal's value examination focuses on studying past and present price action to predict the probability of China Coal's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move China Coal's price. Additionally, you may evaluate how the addition of China Coal to your portfolios can decrease your overall portfolio volatility.
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