Mask Network Market Value
| MASK Crypto | USD 1.56 0.09 6.12% |
| Symbol | Mask |
Mask Network '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 Mask Network'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 Mask Network.
| 04/21/2025 |
| 07/20/2025 |
If you would invest 0.00 in Mask Network on April 21, 2025 and sell it all today you would earn a total of 0.00 from holding Mask Network or generate 0.0% return on investment in Mask Network over 90 days. Mask Network is related to or competes with Staked Ether, EigenLayer, Morpho, and DIA. Mask Network is peer-to-peer digital currency powered by the Blockchain technology.
Mask Network 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 Mask Network'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 Mask Network upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 8.8 | |||
| Information Ratio | 0.0926 | |||
| Maximum Drawdown | 76.0 | |||
| Value At Risk | (9.65) | |||
| Potential Upside | 10.13 |
Mask Network Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Mask Network's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Mask Network's standard deviation. In reality, there are many statistical measures that can use Mask Network historical prices to predict the future Mask Network's volatility.| Risk Adjusted Performance | 0.1106 | |||
| Jensen Alpha | 1.05 | |||
| Total Risk Alpha | (0.28) | |||
| Sortino Ratio | 0.0909 | |||
| Treynor Ratio | (1.04) |
Mask Network Backtested Returns
Mask Network appears to be exceptionally volatile, given 3 months investment horizon. Mask Network has Sharpe Ratio of 0.0993, which conveys that digital coin had a 0.0993 % return per unit of risk over the last 3 months. By analyzing Mask Network's technical indicators, you can evaluate if the expected return of 0.86% is justified by implied risk. Please exercise Mask Network's Mean Deviation of 5.2, downside deviation of 8.8, and Risk Adjusted Performance of 0.1106 to check out if our risk estimates are consistent with your expectations. The crypto secures a Beta (Market Risk) of -0.9, which conveys possible diversification benefits within a given portfolio. As the market becomes more bullish, returns on owning Mask Network are expected to decrease slowly. On the other hand, during market turmoil, Mask Network is expected to outperform it slightly.
Auto-correlation | 0.07 |
Virtually no predictability
Mask Network has virtually no predictability. Overlapping area represents the amount of predictability between Mask Network time series from 21st of April 2025 to 5th of June 2025 and 5th of June 2025 to 20th of July 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Mask Network price movement. The serial correlation of 0.07 indicates that barely 7.0% of current Mask Network price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.07 | |
| Spearman Rank Test | -0.12 | |
| Residual Average | 0.0 | |
| Price Variance | 0.03 |
Mask Network lagged returns against current returns
Autocorrelation, which is Mask Network 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 Mask Network's crypto coin expected returns. We can calculate the autocorrelation of Mask Network returns to help us make a trade decision. For example, suppose you find that Mask Network 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 |
Mask Network 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 Mask Network crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Mask Network crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Mask Network crypto coin over time.
Current vs Lagged Prices |
| Timeline |
Mask Network Lagged Returns
When evaluating Mask Network's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Mask Network crypto coin have on its future price. Mask Network 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, Mask Network autocorrelation shows the relationship between Mask Network crypto coin current value and its past values and can show if there is a momentum factor associated with investing in Mask Network.
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 Mask Network offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of Mask Network'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 Mask Network Crypto.Check out Mask Network Correlation, Mask Network Volatility and Investing Opportunities module to complement your research on Mask Network. You can also try the Financial Widgets module to easily integrated Macroaxis content with over 30 different plug-and-play financial widgets.
Mask Network 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.