DPY Market Value
| DPY Crypto | USD 0 0.000041 3.36% |
| Symbol | DPY |
DPY '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 DPY'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 DPY.
| 02/28/2023 |
| 02/17/2025 |
If you would invest 0.00 in DPY on February 28, 2023 and sell it all today you would earn a total of 0.00 from holding DPY or generate 0.0% return on investment in DPY over 720 days. DPY is related to or competes with Staked Ether, Phala Network, EigenLayer, Morpho, Tokocrypto, and DIA. DPY is peer-to-peer digital currency powered by the Blockchain technology.
DPY 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 DPY'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 DPY upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.01) | |||
| Maximum Drawdown | 103.1 | |||
| Value At Risk | (9.26) | |||
| Potential Upside | 13.23 |
DPY Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for DPY's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as DPY's standard deviation. In reality, there are many statistical measures that can use DPY historical prices to predict the future DPY's volatility.| Risk Adjusted Performance | 0.0056 | |||
| Jensen Alpha | (0.07) | |||
| Total Risk Alpha | (0.09) | |||
| Treynor Ratio | (0.17) |
DPY Backtested Returns
At this point, DPY is abnormally risky. DPY secures Sharpe Ratio (or Efficiency) of close to zero, which denotes digital coin had a close to zero % return per unit of volatility over the last 3 months. We have found twenty-four technical indicators for DPY, which you can use to evaluate the volatility of coin. Please confirm DPY's Market Risk Adjusted Performance of (0.16), standard deviation of 11.81, and Mean Deviation of 6.3 to check if the risk estimate we provide is consistent with the expected return of 0.045%. The crypto shows a Beta (market volatility) of 0.43, which means possible diversification benefits within a given portfolio. As returns on the market increase, DPY's returns are expected to increase less than the market. However, during the bear market, the loss of holding DPY is expected to be smaller as well.
Auto-correlation | 0.55 |
Modest predictability
DPY has modest predictability. Overlapping area represents the amount of predictability between DPY time series from 28th of February 2023 to 23rd of February 2024 and 23rd of February 2024 to 17th of February 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 DPY price movement. The serial correlation of 0.55 indicates that about 55.0% of current DPY price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.55 | |
| Spearman Rank Test | 0.41 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
DPY lagged returns against current returns
Autocorrelation, which is DPY 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 DPY's crypto coin expected returns. We can calculate the autocorrelation of DPY returns to help us make a trade decision. For example, suppose you find that DPY 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 |
DPY 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 DPY crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if DPY crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in DPY crypto coin over time.
Current vs Lagged Prices |
| Timeline |
DPY Lagged Returns
When evaluating DPY's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of DPY crypto coin have on its future price. DPY 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, DPY autocorrelation shows the relationship between DPY crypto coin current value and its past values and can show if there is a momentum factor associated with investing in DPY.
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 DPY offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of DPY'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 Dpy Crypto.Check out DPY Correlation, DPY Volatility and Investing Opportunities module to complement your research on DPY. You can also try the Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.
DPY 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.