GEO JS Pink Sheet Forecast - Simple Exponential Smoothing
| GJST Stock | USD 0.03 0 5.42% |
The Simple Exponential Smoothing forecasted value of GEO JS Tech on the next trading day is expected to be 0.03 with a mean absolute deviation of 0.0007 and the sum of the absolute errors of 0.04. GEO Pink Sheet Forecast is based on your current time horizon.
The relative strength index (RSI) of GEO JS's share price is above 70 at this time. This usually indicates that the pink sheet is becoming overbought or overvalued. The idea behind Relative Strength Index (RSI) is that it helps to track how fast people are buying or selling GEO, making its price go up or down. Momentum 77
Buy Stretched
Oversold | Overbought |
Using GEO JS hype-based prediction, you can estimate the value of GEO JS Tech from the perspective of GEO JS response to recently generated media hype and the effects of current headlines on its competitors.
The Simple Exponential Smoothing forecasted value of GEO JS Tech on the next trading day is expected to be 0.03 with a mean absolute deviation of 0.0007 and the sum of the absolute errors of 0.04. GEO JS after-hype prediction price | USD 0.03 |
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.
GEO |
GEO JS Additional Predictive Modules
Most predictive techniques to examine GEO price help traders to determine how to time the market. We provide a combination of tools to recognize potential entry and exit points for GEO using various technical indicators. When you analyze GEO 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 |
GEO JS Simple Exponential Smoothing Price Forecast For the 19th of January
Given 90 days horizon, the Simple Exponential Smoothing forecasted value of GEO JS Tech on the next trading day is expected to be 0.03 with a mean absolute deviation of 0.0007, mean absolute percentage error of 0.00000285, and the sum of the absolute errors of 0.04.Please note that although there have been many attempts to predict GEO 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 GEO JS's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
GEO JS Pink Sheet Forecast Pattern
| Backtest GEO JS | GEO JS Price Prediction | Buy or Sell Advice |
GEO JS Forecasted Value
In the context of forecasting GEO JS'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. GEO JS's downside and upside margins for the forecasting period are 0.0003 and 12.84, respectively. We have considered GEO JS'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 GEO JS pink sheet data series using in forecasting. Note that when a statistical model is used to represent GEO JS 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 | 103.5041 |
| Bias | Arithmetic mean of the errors | -4.0E-4 |
| MAD | Mean absolute deviation | 7.0E-4 |
| MAPE | Mean absolute percentage error | 0.047 |
| SAE | Sum of the absolute errors | 0.0425 |
Predictive Modules for GEO JS
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as GEO JS Tech. 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 GEO JS'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 GEO JS
For every potential investor in GEO, whether a beginner or expert, GEO JS's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. GEO Pink Sheet price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in GEO. Basic forecasting techniques help filter out the noise by identifying GEO JS's price trends.GEO JS 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 GEO JS pink sheet to make a market-neutral strategy. Peer analysis of GEO JS could also be used in its relative valuation, which is a method of valuing GEO JS by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
GEO JS Tech 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 GEO JS'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 GEO JS's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
GEO JS Market Strength Events
Market strength indicators help investors to evaluate how GEO JS 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 GEO JS shares will generate the highest return on investment. By undertsting and applying GEO JS pink sheet market strength indicators, traders can identify GEO JS Tech entry and exit signals to maximize returns.
GEO JS Risk Indicators
The analysis of GEO JS'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 GEO JS's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting geo 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 | 6.42 | |||
| Standard Deviation | 12.63 | |||
| Variance | 159.41 |
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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Additional Tools for GEO Pink Sheet Analysis
When running GEO JS's price analysis, check to measure GEO JS's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy GEO JS is operating at the current time. Most of GEO JS's value examination focuses on studying past and present price action to predict the probability of GEO JS's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move GEO JS's price. Additionally, you may evaluate how the addition of GEO JS to your portfolios can decrease your overall portfolio volatility.