Green Cures Botanical Stock Price Prediction
| GRCU Stock | USD 0.0002 0.0001 100.00% |
Oversold Vs Overbought
53
Oversold | Overbought |
Using Green Cures hype-based prediction, you can estimate the value of Green Cures Botanical from the perspective of Green Cures 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 Green Cures to buy its pink sheet at a price that has no basis in reality. In that case, they are not buying Green 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.
Green Cures after-hype prediction price | USD 1.82E-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.
Green |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Green Cures' 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.
Green Cures After-Hype Price Prediction Density Analysis
As far as predicting the price of Green Cures 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 Green Cures 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 Green Cures, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Green Cures Estimiated After-Hype Price Volatility
In the context of predicting Green Cures' pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Green Cures' historical news coverage. Green Cures' after-hype downside and upside margins for the prediction period are 0.00 and 50.01, respectively. We have considered Green Cures' 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
Green Cures is out of control at this time. Analysis and calculation of next after-hype price of Green Cures Botanical is based on 3 months time horizon.
Green Cures Pink Sheet Price Prediction Analysis
Have you ever been surprised when a price of a Company such as Green Cures is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Green Cures 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 Green Cures, 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 |
10.16 | 49.75 | 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 | 8.83 |
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Green Cures Hype Timeline
Green Cures Botanical 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. Green is forecasted to decline in value after the next headline, with the price expected to drop to 1.82E-4. The average volatility of media hype impact on the company price is insignificant. The price decrease on the next news is expected to be -8.83%, whereas the daily expected return is currently at 10.16%. The volatility of related hype on Green Cures is about 0.0%, with the expected price after the next announcement by competition of 0.00. The company had not issued any dividends in recent years. Green Cures Botanical had 1:130 split on the 8th of January 2016. Given the investment horizon of 90 days the next forecasted press release will be in a few days. Check out Green Cures Basic Forecasting Models to cross-verify your projections.Green Cures Related Hype Analysis
Having access to credible news sources related to Green Cures' direct competition is more important than ever and may enhance your ability to predict Green Cures' future price movements. Getting to know how Green Cures' 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 Green Cures may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| SPBBF | Speakeasy Cannabis Club | 0.00 | 0 per month | 0.00 | 0.00 | 0.00 | 0.00 | 0.00 | |
| LRSV | Link Reservations | 0.00 | 0 per month | 0.00 | 0.04 | 0.00 | (28.57) | 150.00 |
Green Cures Additional Predictive Modules
Most predictive techniques to examine Green price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Green using various technical indicators. When you analyze Green 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 Green Cures Predictive Indicators
The successful prediction of Green Cures 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 Green Cures Botanical, 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 Green Cures based on analysis of Green Cures hews, social hype, general headline patterns, and widely used predictive technical indicators.
We also calculate exposure to Green Cures's market risk, different technical and fundamental indicators, relevant financial multiples and ratios, and then comparing them to Green Cures's related companies.
Story Coverage note for Green Cures
The number of cover stories for Green Cures depends on current market conditions and Green Cures' risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Green Cures 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 Green Cures' long-term prospects. So, having above-average coverage will typically attract above-average short interest, leading to significant price volatility.
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Green Cures Short Properties
Green Cures' future price predictability will typically decrease when Green Cures' long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Green Cures Botanical often depends not only on the future outlook of the potential Green Cures' 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. Green Cures' indicators that are reflective of the short sentiment are summarized in the table below.
| Short Long Term Debt | 311 K |
Additional Tools for Green Pink Sheet Analysis
When running Green Cures' price analysis, check to measure Green Cures' 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 Green Cures is operating at the current time. Most of Green Cures' value examination focuses on studying past and present price action to predict the probability of Green Cures' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Green Cures' price. Additionally, you may evaluate how the addition of Green Cures to your portfolios can decrease your overall portfolio volatility.