Glucose Health Stock Market Value
| GLUC Stock | USD 0.22 0.01 4.76% |
| Symbol | Glucose |
Glucose Health 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Glucose Health's pink sheet what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Glucose Health.
| 11/09/2025 |
| 01/08/2026 |
If you would invest 0.00 in Glucose Health on November 9, 2025 and sell it all today you would earn a total of 0.00 from holding Glucose Health or generate 0.0% return on investment in Glucose Health over 60 days. Glucose Health is related to or competes with Tofutti Brands, Artisan Consumer, Sentient Brands, Pangea Natural, Cyanotech, and Learning Tree. Glucose Health, Inc. engages in the formulation, manufacturing, marketing, and distribution of soluble fiber infused nut... More
Glucose Health Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Glucose Health's pink sheet current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Glucose Health upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 11.44 | |||
| Information Ratio | 0.2336 | |||
| Maximum Drawdown | 98.53 | |||
| Value At Risk | (13.64) | |||
| Potential Upside | 37.5 |
Glucose Health Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Glucose Health's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Glucose Health's standard deviation. In reality, there are many statistical measures that can use Glucose Health historical prices to predict the future Glucose Health's volatility.| Risk Adjusted Performance | 0.1862 | |||
| Jensen Alpha | 3.52 | |||
| Total Risk Alpha | 2.34 | |||
| Sortino Ratio | 0.3148 | |||
| Treynor Ratio | 1.63 |
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 Backtested Returns
Glucose Health is out of control given 3 months investment horizon. Glucose Health holds Efficiency (Sharpe) Ratio of 0.28, which attests that the entity had a 0.28 % return per unit of risk over the last 3 months. We are able to break down and analyze data for twenty-nine different technical indicators, which can help you to evaluate if expected returns of 4.4% are justified by taking the suggested risk. Use Glucose Health Market Risk Adjusted Performance of 1.64, risk adjusted performance of 0.1862, and Downside Deviation of 11.44 to evaluate company specific risk that cannot be diversified away. Glucose Health holds a performance score of 22 on a scale of zero to a hundred. The company retains a Market Volatility (i.e., Beta) of 2.25, which attests to a somewhat significant risk relative to the market. As the market goes up, the company is expected to outperform it. However, if the market returns are negative, Glucose Health will likely underperform. Use Glucose Health value at risk and the relationship between the expected short fall and market facilitation index , to analyze future returns on Glucose Health.
Auto-correlation | 0.14 |
Insignificant predictability
Glucose Health has insignificant predictability. Overlapping area represents the amount of predictability between Glucose Health time series from 9th of November 2025 to 9th of December 2025 and 9th of December 2025 to 8th of January 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Glucose Health price movement. The serial correlation of 0.14 indicates that less than 14.0% of current Glucose Health price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.14 | |
| Spearman Rank Test | 0.45 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Glucose Health lagged returns against current returns
Autocorrelation, which is Glucose Health pink sheet's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Glucose Health's pink sheet expected returns. We can calculate the autocorrelation of Glucose Health returns to help us make a trade decision. For example, suppose you find that Glucose Health has exhibited high autocorrelation historically, and you observe that the pink sheet is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
Glucose Health regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Glucose Health pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Glucose Health pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Glucose Health pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Glucose Health Lagged Returns
When evaluating Glucose Health's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Glucose Health pink sheet have on its future price. Glucose Health autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Glucose Health autocorrelation shows the relationship between Glucose Health pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Glucose Health.
Regressed Prices |
| Timeline |
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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.