Egrnf Stock Price Prediction
| EGRNF Stock | USD 0.0002 0.0001 33.33% |
Oversold Vs Overbought
33
Oversold | Overbought |
Using EGRNF hype-based prediction, you can estimate the value of EGRNF from the perspective of EGRNF 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 EGRNF to buy its pink sheet at a price that has no basis in reality. In that case, they are not buying EGRNF 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.
EGRNF after-hype prediction price | USD 1.93E-4 |
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.
EGRNF |
EGRNF After-Hype Price Prediction Density Analysis
As far as predicting the price of EGRNF 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 EGRNF 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 EGRNF, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
EGRNF Estimiated After-Hype Price Volatility
In the context of predicting EGRNF's pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on EGRNF's historical news coverage. EGRNF's after-hype downside and upside margins for the prediction period are 0.00 and 50.01, respectively. We have considered EGRNF'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
EGRNF is out of control at this time. Analysis and calculation of next after-hype price of EGRNF is based on 3 months time horizon.
EGRNF Pink Sheet Price Prediction Analysis
Have you ever been surprised when a price of a Company such as EGRNF is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading EGRNF 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 EGRNF, 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 |
26.30 | 170.35 | 0.00 | 0.00 | 0 Events / Month | 0 Events / Month | In a few days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | ||
0.0002 | 0.0002 | 3.66 |
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EGRNF Hype Timeline
EGRNF is currently traded for 0.0002. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.0. EGRNF is estimated to decline in value after the next headline, with the price expected to drop to 1.93E-4. The average volatility of media hype impact on the company price is insignificant. The price reduction on the next news is expected to be -3.66%, whereas the daily expected return is currently at 26.3%. The volatility of related hype on EGRNF is about 0.0%, with the expected price after the next announcement by competition of 0.00. About 70.0% of the company shares are held by company insiders. The company has price-to-book (P/B) ratio of 0.03. Some equities with similar Price to Book (P/B) outperform the market in the long run. EGRNF has Price/Earnings To Growth (PEG) ratio of 0.19. The entity last dividend was issued on the 16th of June 2021. Assuming the 90 days horizon the next estimated press release will be in a few days. Check out EGRNF Basic Forecasting Models to cross-verify your projections.EGRNF Related Hype Analysis
Having access to credible news sources related to EGRNF's direct competition is more important than ever and may enhance your ability to predict EGRNF's future price movements. Getting to know how EGRNF'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 EGRNF may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| HIHI | Holiday Island Holdings | 0.00 | 0 per month | 12.00 | (0.01) | 30.43 | (25.14) | 86.84 | |
| SUHJY | Sun Hung Kai | 0.00 | 0 per month | 1.62 | (0.01) | 2.15 | (2.24) | 12.09 |
EGRNF Additional Predictive Modules
Most predictive techniques to examine EGRNF price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for EGRNF using various technical indicators. When you analyze EGRNF 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 EGRNF Predictive Indicators
The successful prediction of EGRNF 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 EGRNF, 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 EGRNF based on analysis of EGRNF hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to EGRNF's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to EGRNF's related companies.
Story Coverage note for EGRNF
The number of cover stories for EGRNF depends on current market conditions and EGRNF's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that EGRNF 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 EGRNF'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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EGRNF Short Properties
EGRNF's future price predictability will typically decrease when EGRNF's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of EGRNF often depends not only on the future outlook of the potential EGRNF'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. EGRNF's indicators that are reflective of the short sentiment are summarized in the table below.
| Common Stock Shares Outstanding | 13.2 B |
Complementary Tools for EGRNF Pink Sheet analysis
When running EGRNF's price analysis, check to measure EGRNF'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 EGRNF is operating at the current time. Most of EGRNF's value examination focuses on studying past and present price action to predict the probability of EGRNF's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move EGRNF's price. Additionally, you may evaluate how the addition of EGRNF to your portfolios can decrease your overall portfolio volatility.
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