GMX Market Value
| GMX Crypto | USD 32.62 0.92 2.90% |
| Symbol | GMX |
GMX 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to GMX's crypto coin what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of GMX.
| 09/03/2024 |
| 12/02/2024 |
If you would invest 0.00 in GMX on September 3, 2024 and sell it all today you would earn a total of 0.00 from holding GMX or generate 0.0% return on investment in GMX over 90 days. GMX is related to or competes with XRP, Solana, Staked Ether, Toncoin, Worldcoin, Sui, and Stellar. GMX is peer-to-peer digital currency powered by the Blockchain technology.
GMX Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure GMX's crypto coin current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess GMX upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 4.55 | |||
| Information Ratio | 0.0654 | |||
| Maximum Drawdown | 23.64 | |||
| Value At Risk | (7.01) | |||
| Potential Upside | 9.65 |
GMX Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for GMX's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as GMX's standard deviation. In reality, there are many statistical measures that can use GMX historical prices to predict the future GMX's volatility.| Risk Adjusted Performance | 0.0793 | |||
| Jensen Alpha | 0.4151 | |||
| Total Risk Alpha | (0.38) | |||
| Sortino Ratio | 0.0725 | |||
| Treynor Ratio | 1.37 |
GMX Backtested Returns
GMX appears to be extremely risky, given 3 months investment horizon. GMX holds Efficiency (Sharpe) Ratio of 0.1, which attests that digital coin had a 0.1% return per unit of volatility over the last 3 months. By analyzing GMX's technical indicators, you can evaluate if the expected return of 0.51% is justified by implied risk. Please utilize GMX's market risk adjusted performance of 1.38, and Risk Adjusted Performance of 0.0793 to validate if our risk estimates are consistent with your expectations. The crypto retains a Market Volatility (i.e., Beta) of 0.33, which attests to possible diversification benefits within a given portfolio. As returns on the market increase, GMX's returns are expected to increase less than the market. However, during the bear market, the loss of holding GMX is expected to be smaller as well.
Auto-correlation | -0.46 |
Modest reverse predictability
GMX has modest reverse predictability. Overlapping area represents the amount of predictability between GMX time series from 3rd of September 2024 to 18th of October 2024 and 18th of October 2024 to 2nd of December 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of GMX price movement. The serial correlation of -0.46 indicates that about 46.0% of current GMX price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.46 | |
| Spearman Rank Test | -0.45 | |
| Residual Average | 0.0 | |
| Price Variance | 12.9 |
GMX lagged returns against current returns
Autocorrelation, which is GMX crypto coin's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting GMX's crypto coin expected returns. We can calculate the autocorrelation of GMX returns to help us make a trade decision. For example, suppose you find that GMX has exhibited high autocorrelation historically, and you observe that the crypto coin is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
GMX regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If GMX crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if GMX crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in GMX crypto coin over time.
Current vs Lagged Prices |
| Timeline |
GMX Lagged Returns
When evaluating GMX's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of GMX crypto coin have on its future price. GMX autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, GMX autocorrelation shows the relationship between GMX crypto coin current value and its past values and can show if there is a momentum factor associated with investing in GMX.
Regressed Prices |
| Timeline |
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 GMX Correlation, GMX Volatility and Investing Opportunities module to complement your research on GMX. You can also try the Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.
GMX technical crypto coin analysis exercises models and trading practices based on price and volume transformations, such as the moving averages, relative strength index, regressions, price and return correlations, business cycles, crypto market cycles, or different charting patterns.