DPY Market Value
| DPY Crypto | USD 0 0.0003 20.89% |
| 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.
| 05/26/2024 |
| 11/22/2024 |
If you would invest 0.00 in DPY on May 26, 2024 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 180 days. DPY is related to or competes with Solana, XRP, Sui, Staked Ether, Toncoin, Worldcoin, and TRON. 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.
| Downside Deviation | 8.0 | |||
| Information Ratio | 0.0115 | |||
| Maximum Drawdown | 39.29 | |||
| Value At Risk | (11.88) | |||
| Potential Upside | 13.1 |
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 | 0.0265 | |||
| Jensen Alpha | 0.2397 | |||
| Total Risk Alpha | (0.75) | |||
| Sortino Ratio | 0.0118 | |||
| Treynor Ratio | (0.26) |
DPY Backtested Returns
DPY appears to be exceptionally volatile, given 3 months investment horizon. DPY secures Sharpe Ratio (or Efficiency) of 0.0867, which denotes digital coin had a 0.0867% return per unit of volatility over the last 3 months. By evaluating DPY's technical indicators, you can evaluate if the expected return of 0.72% is justified by implied risk. Please utilize DPY's Mean Deviation of 6.02, downside deviation of 8.0, and Market Risk Adjusted Performance of (0.25) to check if our risk estimates are consistent with your expectations. The crypto shows a Beta (market volatility) of -0.7, which means possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning DPY are expected to decrease at a much lower rate. During the bear market, DPY is likely to outperform the market.
Auto-correlation | 0.01 |
Virtually no predictability
DPY has virtually no predictability. Overlapping area represents the amount of predictability between DPY time series from 26th of May 2024 to 24th of August 2024 and 24th of August 2024 to 22nd of November 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 DPY price movement. The serial correlation of 0.01 indicates that just 1.0% of current DPY price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.01 | |
| Spearman Rank Test | -0.1 | |
| 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 Funds Screener module to find actively-traded funds from around the world traded on over 30 global exchanges.
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.