GMX Crypto Coin Forecast - Polynomial Regression
| GMX Crypto | USD 29.97 0.03 0.10% |
The Polynomial Regression forecasted value of GMX on the next trading day is expected to be 32.05 with a mean absolute deviation of 1.18 and the sum of the absolute errors of 72.09. GMX Crypto Coin Forecast is based on your current time horizon. Investors can use this forecasting interface to forecast GMX crypto prices and determine the direction of GMX's future trends based on various well-known forecasting models. We recommend always using this module together with an analysis of GMX's historical fundamentals, such as revenue growth or operating cash flow patterns.
GMX |
GMX Polynomial Regression Price Forecast For the 23rd of November
Given 90 days horizon, the Polynomial Regression forecasted value of GMX on the next trading day is expected to be 32.05 with a mean absolute deviation of 1.18, mean absolute percentage error of 2.00, and the sum of the absolute errors of 72.09.Please note that although there have been many attempts to predict GMX Crypto Coin 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 GMX's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).
GMX Crypto Coin Forecast Pattern
GMX Forecasted Value
In the context of forecasting GMX's Crypto Coin 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. GMX's downside and upside margins for the forecasting period are 27.05 and 37.05, respectively. We have considered GMX'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 Polynomial Regression forecasting method's relative quality and the estimations of the prediction error of GMX crypto coin data series using in forecasting. Note that when a statistical model is used to represent GMX crypto coin, 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 | 118.802 |
| Bias | Arithmetic mean of the errors | None |
| MAD | Mean absolute deviation | 1.1817 |
| MAPE | Mean absolute percentage error | 0.05 |
| SAE | Sum of the absolute errors | 72.0851 |
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.Other Forecasting Options for GMX
For every potential investor in GMX, whether a beginner or expert, GMX's price movement is the inherent factor that sparks whether it is viable to invest in it or hold it better. GMX Crypto Coin price charts are filled with many 'noises.' These noises can hugely alter the decision one can make regarding investing in GMX. Basic forecasting techniques help filter out the noise by identifying GMX's price trends.GMX 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 GMX crypto coin to make a market-neutral strategy. Peer analysis of GMX could also be used in its relative valuation, which is a method of valuing GMX by comparing valuation metrics with similar companies.
| Risk & Return | Correlation |
GMX Technical and Predictive Analytics
The crypto coin market is financially volatile. Despite the volatility, there exist limitless possibilities of gaining profits and building passive income portfolios. With the complexity of GMX'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 GMX's current price.| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
GMX Market Strength Events
Market strength indicators help investors to evaluate how GMX crypto coin reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading GMX shares will generate the highest return on investment. By undertsting and applying GMX crypto coin market strength indicators, traders can identify GMX entry and exit signals to maximize returns.
GMX Risk Indicators
The analysis of GMX'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 GMX's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting gmx crypto coin 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 | 3.87 | |||
| Semi Deviation | 4.64 | |||
| Standard Deviation | 5.35 | |||
| Variance | 28.6 | |||
| Downside Variance | 23.09 | |||
| Semi Variance | 21.57 | |||
| Expected Short fall | (4.83) |
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.
Also Currently Popular
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.When determining whether GMX offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of GMX's financial statements, including income statements, balance sheets, and cash flow statements, to assess its financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Gmx Crypto.Check out Historical Fundamental Analysis of GMX to cross-verify your projections. You can also try the Portfolio Manager module to state of the art Portfolio Manager to monitor and improve performance of your invested capital.