Glucose Health Pink Sheet Forecast - Simple Exponential Smoothing
| GLUC Stock | USD 0.36 0.08 18.18% |
Glucose Pink Sheet outlook is based on your current time horizon. Investors can use this forecasting interface to forecast Glucose Health stock prices and determine the direction of Glucose Health's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of Glucose Health's historical fundamentals, such as revenue growth or operating cash flow patterns.
At the present time, The relative strength index (RSI) of Glucose Health's share price is at 58. This usually indicates that the pink sheet is in nutural position, most likellhy at or near its resistance level. The main idea of RSI analysis is to track how fast people are buying or selling Glucose Health, making its price go up or down. Momentum 58
Buy Extended
Oversold | Overbought |
Using Glucose Health hype-based prediction, you can estimate the value of Glucose Health from the perspective of Glucose Health response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Exponential Smoothing forecasted value of Glucose Health on the next trading day is expected to be 0.36 with a mean absolute deviation of 0.02 and the sum of the absolute errors of 1.16. Glucose Health after-hype prediction price | USD 0.36 |
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.
Glucose |
Glucose Health Additional Predictive Modules
Most predictive techniques to examine Glucose price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for Glucose using various technical indicators. When you analyze Glucose 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 |
Glucose Health Simple Exponential Smoothing Price Forecast For the 27th of January
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of Glucose Health on the next trading day is expected to be 0.36 with a mean absolute deviation of 0.02, mean absolute percentage error of 0, and the sum of the absolute errors of 1.16.Please note that although there have been many attempts to predict Glucose Pink Sheet prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Glucose Health's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
Glucose Health Pink Sheet Forecast Pattern
| Backtest Glucose Health | Glucose Health Price Prediction | Buy or Sell Advice |
Glucose Health Forecasted Value
In the context of forecasting Glucose Health's Pink Sheet value on the next trading day, we examine the predictive performance of the model to find good statistically significant boundaries of downside and upside scenarios. Glucose Health's downside and upside margins for the forecasting period are 0 and 14.09, respectively. We have considered Glucose Health's daily market price to evaluate the above model's predictive performance. Remember, however, there is no scientific proof or empirical evidence that traditional linear or nonlinear forecasting models outperform artificial intelligence and frequency domain models to provide accurate forecasts consistently.
Model Predictive Factors
The below table displays some essential indicators generated by the model showing the Simple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Glucose Health pink sheet data series using in forecasting. Note that when a statistical model is used to represent Glucose Health pink sheet, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.| AIC | Akaike Information Criteria | 109.6995 |
| Bias | Arithmetic mean of the errors | -0.0048 |
| MAD | Mean absolute deviation | 0.0193 |
| MAPE | Mean absolute percentage error | 0.0814 |
| SAE | Sum of the absolute errors | 1.1563 |
Predictive Modules for Glucose Health
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Glucose Health. Regardless of method or technology, however, to accurately forecast the pink sheet market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the pink sheet market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Glucose Health'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.
Glucose Health After-Hype Price Density Analysis
As far as predicting the price of Glucose Health 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 Glucose Health 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 Glucose Health, with the unreliable approximations that try to describe financial returns.
Next price density |
| Expected price to next headline |
Glucose Health Estimiated After-Hype Price Volatility
In the context of predicting Glucose Health's pink sheet value on the day after the next significant headline, we show statistically significant boundaries of downside and upside scenarios based on Glucose Health's historical news coverage. Glucose Health's after-hype downside and upside margins for the prediction period are 0.02 and 14.09, respectively. We have considered Glucose Health'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
Glucose Health is out of control at this time. Analysis and calculation of next after-hype price of Glucose Health is based on 3 months time horizon.
Glucose Health Pink Sheet Price Outlook Analysis
Have you ever been surprised when a price of a Company such as Glucose Health is soaring high without any particular reason? This is usually happening because many institutional investors are aggressively trading Glucose Health 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 Glucose Health, 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 |
2.77 | 13.73 | 0.00 | 0.77 | 0 Events / Month | 4 Events / Month | In a few days |
| Latest traded price | Expected after-news price | Potential return on next major news | Average after-hype volatility | |
0.36 | 0.36 | 0.00 |
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Glucose Health Hype Timeline
Glucose Health is currently traded for 0.36. The entity stock is not elastic to its hype. The average elasticity to hype of competition is 0.77. Glucose is anticipated 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 anticipated to be very small, whereas the daily expected return is currently at 2.77%. %. The volatility of related hype on Glucose Health is about 4936.72%, with the expected price after the next announcement by competition of 1.13. The company recorded a loss per share of 0.04. Glucose Health had not issued any dividends in recent years. The entity had 1:50 split on the 17th of November 2014. Given the investment horizon of 90 days the next anticipated press release will be in a few days. Check out Historical Fundamental Analysis of Glucose Health to cross-verify your projections.Glucose Health Related Hype Analysis
Having access to credible news sources related to Glucose Health's direct competition is more important than ever and may enhance your ability to predict Glucose Health's future price movements. Getting to know how Glucose Health'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 Glucose Health may potentially react to the hype associated with one of its peers.
| HypeElasticity | NewsDensity | SemiDeviation | InformationRatio | PotentialUpside | ValueAt Risk | MaximumDrawdown | |||
| TOFB | Tofutti Brands | 0.12 | 4 per month | 2.94 | 0.04 | 9.59 | (7.14) | 22.31 | |
| PSYCF | Psyched Wellness | 0.00 | 0 per month | 8.74 | 0.02 | 25.00 | (20.00) | 75.97 | |
| VPRB | VPR Brands LP | 2.36 | 23 per month | 15.29 | 0.07 | 30.89 | (26.92) | 167.77 | |
| ARRT | Artisan Consumer Goods | 0.12 | 8 per month | 15.24 | 0.12 | 49.25 | (33.33) | 427.18 | |
| SNBH | Sentient Brands Holdings | 0.00 | 0 per month | 18.68 | 0.12 | 74.07 | (44.55) | 1,814 | |
| FMBV | Full Motion Beverage | (0.02) | 3 per month | 12.81 | 0.17 | 95.16 | (8.05) | 403.50 | |
| SPCO | The Stephan Co | 0.12 | 15 per month | 0.00 | (0.14) | 7.41 | (13.16) | 106.90 | |
| PNGAF | Pangea Natural Foods | 0.00 | 0 per month | 0.00 | (0.01) | 12.50 | (15.00) | 129.87 | |
| CYAN | Cyanotech | 0.08 | 1 per month | 10.71 | 0.09 | 25.00 | (18.52) | 99.70 | |
| LTRE | Learning Tree International | 0.00 | 0 per month | 0.00 | 0.15 | 17.65 | 0.00 | 162.86 |
Other Forecasting Options for Glucose Health
For every potential investor in Glucose, whether a beginner or expert, Glucose Health's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. Glucose Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in Glucose. Basic forecasting techniques help filter out the noise by identifying Glucose Health's price trends.Glucose Health Related Equities
One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Glucose Health pink sheet to make a market-neutral strategy. Peer analysis of Glucose Health could also be used in its relative valuation, which is a method of valuing Glucose Health by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
Glucose Health Market Strength Events
Market strength indicators help investors to evaluate how Glucose Health pink sheet reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Glucose Health shares will generate the highest return on investment. By undertsting and applying Glucose Health pink sheet market strength indicators, traders can identify Glucose Health entry and exit signals to maximize returns.
| Rate Of Daily Change | 0.82 | |||
| Day Median Price | 0.36 | |||
| Day Typical Price | 0.36 | |||
| Price Action Indicator | (0.04) | |||
| Period Momentum Indicator | (0.08) | |||
| Relative Strength Index | 58.65 |
Glucose Health Risk Indicators
The analysis of Glucose Health's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Glucose Health's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting glucose pink sheet prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.
| Mean Deviation | 11.04 | |||
| Semi Deviation | 7.52 | |||
| Standard Deviation | 16.65 | |||
| Variance | 277.23 | |||
| Downside Variance | 129.04 | |||
| Semi Variance | 56.49 | |||
| Expected Short fall | (17.60) |
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.
Story Coverage note for Glucose Health
The number of cover stories for Glucose Health depends on current market conditions and Glucose Health's risk-adjusted performance over time. The coverage that generates the most noise at a given time depends on the prevailing investment theme that Glucose Health 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 Glucose Health'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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Glucose Health Short Properties
Glucose Health's future price predictability will typically decrease when Glucose Health's long traders begin to feel the short-sellers pressure to drive the price lower. The predictive aspect of Glucose Health often depends not only on the future outlook of the potential Glucose Health'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. Glucose Health's indicators that are reflective of the short sentiment are summarized in the table below.
| Dividends Paid | 99.4 K | |
| Shares Float | 8.2 M |
Other Information on Investing in Glucose Pink Sheet
Glucose Health financial ratios help investors to determine whether Glucose Pink Sheet is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Glucose with respect to the benefits of owning Glucose Health security.