DGB Market Value
| DGB Crypto | USD 0.01 0.0002 2.74% |
| Symbol | DGB |
DGB '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 DGB'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 DGB.
| 12/16/2024 |
| 03/16/2025 |
If you would invest 0.00 in DGB on December 16, 2024 and sell it all today you would earn a total of 0.00 from holding DGB or generate 0.0% return on investment in DGB over 90 days. DGB is related to or competes with Staked Ether, Phala Network, EigenLayer, Morpho, and DIA. DGB is peer-to-peer digital currency powered by the Blockchain technology.
DGB 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 DGB'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 DGB upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.08) | |||
| Maximum Drawdown | 45.66 | |||
| Value At Risk | (12.64) | |||
| Potential Upside | 12.38 |
DGB Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for DGB's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as DGB's standard deviation. In reality, there are many statistical measures that can use DGB historical prices to predict the future DGB's volatility.| Risk Adjusted Performance | (0.07) | |||
| Jensen Alpha | (0.73) | |||
| Total Risk Alpha | 0.2587 | |||
| Treynor Ratio | 1.96 |
DGB Backtested Returns
DGB retains Efficiency (Sharpe Ratio) of -0.07, which denotes digital coin had a -0.07 % return per unit of risk over the last 3 months. DGB exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm DGB's Standard Deviation of 7.61, variance of 57.95, and Market Risk Adjusted Performance of 1.97 to check the risk estimate we provide. The crypto owns a Beta (Systematic Risk) of -0.35, which means possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning DGB are expected to decrease at a much lower rate. During the bear market, DGB is likely to outperform the market.
Auto-correlation | -0.2 |
Insignificant reverse predictability
DGB has insignificant reverse predictability. Overlapping area represents the amount of predictability between DGB time series from 16th of December 2024 to 30th of January 2025 and 30th of January 2025 to 16th of March 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 DGB price movement. The serial correlation of -0.2 indicates that over 20.0% of current DGB price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.2 | |
| Spearman Rank Test | 0.14 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
DGB lagged returns against current returns
Autocorrelation, which is DGB 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 DGB's crypto coin expected returns. We can calculate the autocorrelation of DGB returns to help us make a trade decision. For example, suppose you find that DGB 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 |
DGB 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 DGB crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if DGB crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in DGB crypto coin over time.
Current vs Lagged Prices |
| Timeline |
DGB Lagged Returns
When evaluating DGB's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of DGB crypto coin have on its future price. DGB 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, DGB autocorrelation shows the relationship between DGB crypto coin current value and its past values and can show if there is a momentum factor associated with investing in DGB.
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 DGB offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of DGB'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 Dgb Crypto.Check out DGB Correlation, DGB Volatility and Investing Opportunities module to complement your research on DGB. You can also try the Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
DGB 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.