GMX Chance of Future Crypto Coin Price Finishing Over 29.97
| GMX Crypto | USD 29.97 0.03 0.10% |
GMX |
GMX Target Price Odds to finish over 29.97
The tendency of GMX Crypto Coin price to converge on an average value over time is a known aspect in finance that investors have used since the beginning of the stock market for forecasting. However, many studies suggest that some traded equity instruments are consistently mispriced before traders' demand and supply correct the spread. One possible conclusion to this anomaly is that these stocks have additional risk, for which investors demand compensation in the form of extra returns.
| Current Price | Horizon | Target Price | Odds to move above the current price in 90 days |
| 29.97 | 90 days | 29.97 | near 1 |
Based on a normal probability distribution, the odds of GMX to move above the current price in 90 days from now is near 1 (This GMX probability density function shows the probability of GMX Crypto Coin to fall within a particular range of prices over 90 days) .
Assuming the 90 days trading horizon GMX has a beta of 0.86. This usually indicates GMX market returns are highly-sensitive to returns on the market. As the market goes up or down, GMX is expected to follow. Additionally GMX has an alpha of 0.188, implying that it can generate a 0.19 percent excess return over Dow Jones Industrial after adjusting for the inherited market risk (beta). GMX Price Density |
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Predictive Modules for GMX
There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as GMX. Regardless of method or technology, however, to accurately forecast the crypto coin market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the crypto coin 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.GMX Risk Indicators
For the most part, the last 10-20 years have been a very volatile time for the stock market. GMX is not an exception. The market had few large corrections towards the GMX's value, including both sudden drops in prices as well as massive rallies. These swings have made and broken many portfolios. An investor can limit the violent swings in their portfolio by implementing a hedging strategy designed to limit downside losses. If you hold GMX, one way to have your portfolio be protected is to always look up for changing volatility and market elasticity of GMX within the framework of very fundamental risk indicators.α | Alpha over Dow Jones | 0.19 | |
β | Beta against Dow Jones | 0.86 | |
σ | Overall volatility | 2.33 | |
Ir | Information ratio | 0.03 |
GMX Alerts and Suggestions
In today's market, stock alerts give investors the competitive edge they need to time the market and increase returns. Checking the ongoing alerts of GMX for significant developments is a great way to find new opportunities for your next move. Suggestions and notifications for GMX can help investors quickly react to important events or material changes in technical or fundamental conditions and significant headlines that can affect investment decisions.| GMX had very high historical volatility over the last 90 days |
GMX Technical Analysis
GMX's future price can be derived by breaking down and analyzing its technical indicators over time. GMX Crypto Coin technical analysis helps investors analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of GMX. In general, you should focus on analyzing GMX Crypto Coin price patterns and their correlations with different microeconomic environments and drivers.
GMX Predictive Forecast Models
GMX's time-series forecasting models is one of many GMX's crypto coin analysis techniques aimed to predict future share value based on previously observed values. Time-series forecasting models are widely used for non-stationary data. Non-stationary data are called the data whose statistical properties, e.g., the mean and standard deviation, are not constant over time, but instead, these metrics vary over time. This non-stationary GMX's historical data is usually called time series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the crypto coin market movement and maximize returns from investment trading.
Things to note about GMX
Checking the ongoing alerts about GMX for important developments is a great way to find new opportunities for your next move. Our stock alerts and notifications screener for GMX help investors to be notified of important events, changes in technical or fundamental conditions, and significant headlines that can affect investment decisions.
| GMX had very high historical volatility over the last 90 days |
Check out GMX Backtesting, Portfolio Optimization, GMX Correlation, Cryptocurrency Center, GMX Volatility, GMX History as well as GMX Performance. You can also try the Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.