Glucose Health Pink Sheet Forecast - 8 Period Moving Average
| GLUC Stock | USD 0.16 0.01 6.67% |
The 8 Period Moving Average forecasted value of Glucose Health on the next trading day is expected to be 0.15 with a mean absolute deviation of 0.02 and the sum of the absolute errors of 1.25. Glucose Pink Sheet Forecast 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.
Glucose |
Glucose Health 8 Period Moving Average Price Forecast For the 17th of December 2024
Given 90 days horizon, the 8 Period Moving Average forecasted value of Glucose Health on the next trading day is expected to be 0.15 with a mean absolute deviation of 0.02, mean absolute percentage error of 0.0009, and the sum of the absolute errors of 1.25.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
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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 16.61, 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 8 Period Moving Average 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 | 96.3776 |
| Bias | Arithmetic mean of the errors | 0.0051 |
| MAD | Mean absolute deviation | 0.0235 |
| MAPE | Mean absolute percentage error | 0.1292 |
| SAE | Sum of the absolute errors | 1.2462 |
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.
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.View Glucose Health Related Equities
| Risk & Return | Correlation |
Glucose Health Technical and Predictive Analytics
The pink sheet market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of Glucose Health's price movements, a comprehensive understanding of forecasting methods that an investor can rely on to make the right move is invaluable. These methods predict trends that assist an investor in predicting the movement of Glucose Health's current price.| Cycle Indicators | ||
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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
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| Price Transform | ||
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| Volume Indicators |
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.
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 | 11.19 | |||
| Semi Deviation | 10.4 | |||
| Standard Deviation | 16.36 | |||
| Variance | 267.49 | |||
| Downside Variance | 238.39 | |||
| Semi Variance | 108.22 | |||
| Expected Short fall | (22.75) |
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.
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Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.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.