GBT Technologies Pink Sheet Forecast - Simple Regression
| GTCH Stock | USD 0.0001 0.00 0.00% |
The Simple Regression forecasted value of GBT Technologies on the next trading day is expected to be 0.000093 with a mean absolute deviation of 0.00000627 and the sum of the absolute errors of 0.0004. GBT Pink Sheet Forecast is based on your current time horizon. We recommend always using this module together with an analysis of GBT Technologies' historical fundamentals, such as revenue growth or operating cash flow patterns.
GBT |
GBT Technologies Simple Regression Price Forecast For the 30th of November
Given 90 days horizon, the Simple Regression forecasted value of GBT Technologies on the next trading day is expected to be 0.000093 with a mean absolute deviation of 0.00000627, mean absolute percentage error of 0, and the sum of the absolute errors of 0.0004.Please note that although there have been many attempts to predict GBT 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 GBT Technologies' next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
GBT Technologies Pink Sheet Forecast Pattern
| Backtest GBT Technologies | GBT Technologies Price Prediction | Buy or Sell Advice |
GBT Technologies Forecasted Value
In the context of forecasting GBT Technologies' 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. GBT Technologies' downside and upside margins for the forecasting period are 0.000001 and 178.19, respectively. We have considered GBT Technologies' 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 Regression forecasting method's relative quality and the estimations of the prediction error of GBT Technologies pink sheet data series using in forecasting. Note that when a statistical model is used to represent GBT Technologies 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 | 96.2254 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 0.0 |
| MAPE | Mean absolute percentage error | 9.223372036854776E14 |
| SAE | Sum of the absolute errors | 4.0E-4 |
Predictive Modules for GBT Technologies
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as GBT Technologies. 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 GBT Technologies' 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 GBT Technologies
For every potential investor in GBT, whether a beginner or expert, GBT Technologies' price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. GBT Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in GBT. Basic forecasting techniques help filter out the noise by identifying GBT Technologies' price trends.GBT Technologies 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 GBT Technologies pink sheet to make a market-neutral strategy. Peer analysis of GBT Technologies could also be used in its relative valuation, which is a method of valuing GBT Technologies by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
GBT Technologies 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 GBT Technologies' 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 GBT Technologies' current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
GBT Technologies Market Strength Events
Market strength indicators help investors to evaluate how GBT Technologies 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 GBT Technologies shares will generate the highest return on investment. By undertsting and applying GBT Technologies pink sheet market strength indicators, traders can identify GBT Technologies entry and exit signals to maximize returns.
| Rate Of Daily Change | 1.0 | |||
| Day Median Price | 1.0E-4 | |||
| Day Typical Price | 1.0E-4 |
Currently Active Assets on Macroaxis
Other Information on Investing in GBT Pink Sheet
GBT Technologies financial ratios help investors to determine whether GBT 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 GBT with respect to the benefits of owning GBT Technologies security.