SUNCOKE ENERGY (Germany) Price Prediction
| S01 Stock | EUR 12.00 0.20 1.69% |
Oversold Vs Overbought
82
Oversold | Overbought |
Using SUNCOKE ENERGY hype-based prediction, you can estimate the value of SUNCOKE ENERGY from the perspective of SUNCOKE ENERGY 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 SUNCOKE ENERGY to buy its stock at a price that has no basis in reality. In that case, they are not buying SUNCOKE 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.
SUNCOKE ENERGY after-hype prediction price | EUR 12.0 |
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 stock price forecasting, technical analysis, analysts consensus, earnings estimates, and various momentum models.
SUNCOKE |
SUNCOKE ENERGY After-Hype Price Prediction Density Analysis
As far as predicting the price of SUNCOKE ENERGY 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 SUNCOKE ENERGY 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 SUNCOKE ENERGY, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
SUNCOKE ENERGY Estimiated After-Hype Price Volatility
In the context of predicting SUNCOKE ENERGY's stock value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on SUNCOKE ENERGY's historical news coverage. SUNCOKE ENERGY's after-hype downside and upside margins for the prediction period are 8.57 and 15.43, respectively. We have considered SUNCOKE ENERGY'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
SUNCOKE ENERGY is somewhat reliable at this time. Analysis and calculation of next after-hype price of SUNCOKE ENERGY is based on 3 months time horizon.
SUNCOKE ENERGY Stock Price Prediction Analysis
Have you ever been surprised when a price of a Company such as SUNCOKE ENERGY is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading SUNCOKE ENERGY 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 SUNCOKE ENERGY, 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 |
0.80 | 3.43 | 0.00 | 0.00 | 0 Events / Month | 0 Events / Month | Within a week |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
12.00 | 12.00 | 0.00 |
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SUNCOKE ENERGY Hype Timeline
SUNCOKE ENERGY is at this time traded for 12.00on Berlin Exchange of Germany. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. SUNCOKE is estimated 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 estimated to be very small, whereas the daily expected return is at this time at 0.8%. %. The volatility of related hype on SUNCOKE ENERGY is about 0.0%, with the expected price after the next announcement by competition of 12.00. The company has price-to-book ratio of 1.2. Typically companies with comparable Price to Book (P/B) are able to outperform the market in the long run. SUNCOKE ENERGY last dividend was issued on the 19th of May 2020. Assuming the 90 days trading horizon the next estimated press release will be within a week. Check out SUNCOKE ENERGY Basic Forecasting Models to cross-verify your projections.SUNCOKE ENERGY Related Hype Analysis
Having access to credible news sources related to SUNCOKE ENERGY's direct competition is more important than ever and may enhance your ability to predict SUNCOKE ENERGY's future price movements. Getting to know how SUNCOKE ENERGY'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 SUNCOKE ENERGY may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| RZW | TOTAL GABON | 0.00 | 0 per month | 0.76 | 0.08 | 1.90 | (1.56) | 20.72 | |
| W8A | Walgreens Boots Alliance | 0.00 | 0 per month | 2.37 | 0.01 | 6.89 | (4.08) | 19.27 | |
| M3U | Peak Resources Limited | 0.00 | 0 per month | 0.00 | (0.06) | 14.55 | (16.53) | 57.10 |
SUNCOKE ENERGY Additional Predictive Modules
Most predictive techniques to examine SUNCOKE price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for SUNCOKE using various technical indicators. When you analyze SUNCOKE 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 SUNCOKE ENERGY Predictive Indicators
The successful prediction of SUNCOKE ENERGY 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 SUNCOKE 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 SUNCOKE ENERGY based on analysis of SUNCOKE ENERGY hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to SUNCOKE ENERGY's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to SUNCOKE ENERGY's related companies.
Story Coverage note for SUNCOKE ENERGY
The number of cover stories for SUNCOKE ENERGY depends on current market conditions and SUNCOKE ENERGY's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that SUNCOKE ENERGY 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 SUNCOKE ENERGY'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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SUNCOKE ENERGY Short Properties
SUNCOKE ENERGY's future price predictability will typically decrease when SUNCOKE ENERGY's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of SUNCOKE ENERGY often depends not only on the future outlook of the potential SUNCOKE ENERGY'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. SUNCOKE ENERGY's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 83.4 M | |
| Dividends Paid | 23.6 M | |
| Short Long Term Debt | 3.3 M |
Complementary Tools for SUNCOKE Stock analysis
When running SUNCOKE ENERGY's price analysis, check to measure SUNCOKE ENERGY'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 SUNCOKE ENERGY is operating at the current time. Most of SUNCOKE ENERGY's value examination focuses on studying past and present price action to predict the probability of SUNCOKE ENERGY's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move SUNCOKE ENERGY's price. Additionally, you may evaluate how the addition of SUNCOKE ENERGY to your portfolios can decrease your overall portfolio volatility.
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