DATA Market Value
| DATA Crypto | USD 0.04 0.0003 0.78% |
| Symbol | DATA |
DATA '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 DATA'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 DATA.
| 12/02/2022 |
| 11/21/2024 |
If you would invest 0.00 in DATA on December 2, 2022 and sell it all today you would earn a total of 0.00 from holding DATA or generate 0.0% return on investment in DATA over 720 days. DATA is related to or competes with Solana, XRP, Sui, Staked Ether, Toncoin, Worldcoin, and TRON. DATA is peer-to-peer digital currency powered by the Blockchain technology.
DATA 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 DATA'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 DATA upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.04) | |||
| Maximum Drawdown | 31.69 | |||
| Value At Risk | (8.62) | |||
| Potential Upside | 10.76 |
DATA Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for DATA's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as DATA's standard deviation. In reality, there are many statistical measures that can use DATA historical prices to predict the future DATA's volatility.| Risk Adjusted Performance | (0.01) | |||
| Jensen Alpha | (0.19) | |||
| Total Risk Alpha | (0.78) | |||
| Treynor Ratio | (0.21) |
DATA Backtested Returns
At this point, DATA is unusually risky. DATA secures Sharpe Ratio (or Efficiency) of 9.0E-4, which denotes digital coin had a 9.0E-4% return per unit of volatility over the last 3 months. We have found twenty-four technical indicators for DATA, which you can use to evaluate the volatility of coin. Please confirm DATA's Market Risk Adjusted Performance of (0.20), standard deviation of 5.7, and Mean Deviation of 4.27 to check if the risk estimate we provide is consistent with the expected return of 0.0051%. The entity shows a Beta (market volatility) of 0.64, which means possible diversification benefits within a given portfolio. As returns on the market increase, DATA's returns are expected to increase less than the market. However, during the bear market, the loss of holding DATA is expected to be smaller as well.
Auto-correlation | -0.62 |
Very good reverse predictability
DATA has very good reverse predictability. Overlapping area represents the amount of predictability between DATA time series from 2nd of December 2022 to 27th of November 2023 and 27th of November 2023 to 21st 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 DATA price movement. The serial correlation of -0.62 indicates that roughly 62.0% of current DATA price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.62 | |
| Spearman Rank Test | -0.01 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
DATA lagged returns against current returns
Autocorrelation, which is DATA 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 DATA's crypto coin expected returns. We can calculate the autocorrelation of DATA returns to help us make a trade decision. For example, suppose you find that DATA 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 |
DATA 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 DATA crypto coin is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if DATA crypto coin is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in DATA crypto coin over time.
Current vs Lagged Prices |
| Timeline |
DATA Lagged Returns
When evaluating DATA's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of DATA crypto coin have on its future price. DATA 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, DATA autocorrelation shows the relationship between DATA crypto coin current value and its past values and can show if there is a momentum factor associated with investing in DATA.
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 DATA offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of DATA'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 Data Crypto.Check out DATA Correlation, DATA Volatility and Investing Opportunities module to complement your research on DATA. You can also try the Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
DATA 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.