GBT Technologies Pink Sheet Forecast - Naive Prediction

GTCH Stock  USD 0.0001  0.00  0.00%   
The Naive Prediction forecasted value of GBT Technologies on the next trading day is expected to be 0.000088 with a mean absolute deviation of 0.00000928 and the sum of the absolute errors of 0.0006. 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.
  
A naive forecasting model for GBT Technologies is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of GBT Technologies value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

GBT Technologies Naive Prediction Price Forecast For the 5th of December

Given 90 days horizon, the Naive Prediction forecasted value of GBT Technologies on the next trading day is expected to be 0.000088 with a mean absolute deviation of 0.00000928, mean absolute percentage error of 0, and the sum of the absolute errors of 0.0006.
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

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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 215.14, 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.
Market Value
0.0001
0.000001
Downside
0.000088
Expected Value
215.14
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction 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.
AICAkaike Information Criteria96.5955
BiasArithmetic mean of the errors None
MADMean absolute deviation0.0
MAPEMean absolute percentage error9.223372036854776E14
SAESum of the absolute errors6.0E-4
This model is not at all useful as a medium-long range forecasting tool of GBT Technologies. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict GBT Technologies. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

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.
Hype
Prediction
LowEstimatedHigh
0.000.000150.01
Details
Intrinsic
Valuation
LowRealHigh
0.000.00006350.01
Details
Bollinger
Band Projection (param)
LowMiddleHigh
0.0000920.0000920.000092
Details

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.

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.

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.