DATA Technical Analysis
| DATA Crypto | USD 0 0.0001 2.56% |
As of the 23rd of January, DATA shows the Mean Deviation of 4.33, market risk adjusted performance of 6.03, and Standard Deviation of 6.12. DATA technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the entity's future prices.
DATA Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as DATA, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to DATADATA |
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.
| 10/25/2025 |
| 01/23/2026 |
If you would invest 0.00 in DATA on October 25, 2025 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 90 days. DATA is related to or competes with Staked Ether, EigenLayer, Morpho, and DIA. 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 | (0.16) | |||
| Maximum Drawdown | 40.14 | |||
| Value At Risk | (11.47) | |||
| Potential Upside | 5.24 |
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 | (0.1) | |||
| Jensen Alpha | (0.89) | |||
| Total Risk Alpha | (1.68) | |||
| Treynor Ratio | 6.02 |
DATA January 23, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.1) | |||
| Market Risk Adjusted Performance | 6.03 | |||
| Mean Deviation | 4.33 | |||
| Coefficient Of Variation | (686.36) | |||
| Standard Deviation | 6.12 | |||
| Variance | 37.48 | |||
| Information Ratio | (0.16) | |||
| Jensen Alpha | (0.89) | |||
| Total Risk Alpha | (1.68) | |||
| Treynor Ratio | 6.02 | |||
| Maximum Drawdown | 40.14 | |||
| Value At Risk | (11.47) | |||
| Potential Upside | 5.24 | |||
| Skewness | (0.44) | |||
| Kurtosis | 2.77 |
DATA Backtested Returns
DATA secures Sharpe Ratio (or Efficiency) of -0.15, which denotes digital coin had a -0.15 % return per unit of volatility over the last 3 months. DATA exposes twenty-two different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm DATA's Market Risk Adjusted Performance of 6.03, standard deviation of 6.12, and Mean Deviation of 4.33 to check the risk estimate we provide. The entity shows a Beta (market volatility) of -0.15, which means not very significant fluctuations relative to the market. As returns on the market increase, returns on owning DATA are expected to decrease at a much lower rate. During the bear market, DATA is likely to outperform the market.
Auto-correlation | 0.45 |
Average predictability
DATA has average predictability. Overlapping area represents the amount of predictability between DATA time series from 25th of October 2025 to 9th of December 2025 and 9th of December 2025 to 23rd of January 2026. 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 0.45 indicates that just about 45.0% of current DATA price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.45 | |
| Spearman Rank Test | 0.21 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
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.
DATA Technical Analysis
The output start index for this execution was thirty-six with a total number of output elements of twenty-five. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of DATA volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About DATA Technical Analysis
The technical analysis module can be used to analyzes prices, returns, volume, basic money flow, and other market information and help investors to determine the real value of DATA on a daily or weekly bases. We use both bottom-up as well as top-down valuation methodologies to arrive at the intrinsic value of DATA based on its technical analysis. In general, a bottom-up approach, as applied to this cryptocurrency, focuses on DATA price pattern first instead of the macroeconomic environment surrounding DATA. By analyzing daily price indicators and various types of growth rates, we attempt to find the most accurate representation of DATA's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the crypto market before zooming in to DATA specific price patterns or momentum indicators.
DATA January 23, 2026 Technical Indicators
Most technical analysis of DATA help investors determine whether a current trend will continue and, if not, when it will shift. We provide a combination of tools to recognize potential entry and exit points for DATA from various momentum indicators to cycle indicators. When you analyze DATA charts, please remember that the event formation may indicate an entry point for a short seller, and look at different other indicators across different periods to confirm that a breakdown or reversion is likely to occur.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | (0.1) | |||
| Market Risk Adjusted Performance | 6.03 | |||
| Mean Deviation | 4.33 | |||
| Coefficient Of Variation | (686.36) | |||
| Standard Deviation | 6.12 | |||
| Variance | 37.48 | |||
| Information Ratio | (0.16) | |||
| Jensen Alpha | (0.89) | |||
| Total Risk Alpha | (1.68) | |||
| Treynor Ratio | 6.02 | |||
| Maximum Drawdown | 40.14 | |||
| Value At Risk | (11.47) | |||
| Potential Upside | 5.24 | |||
| Skewness | (0.44) | |||
| Kurtosis | 2.77 |
DATA January 23, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as DATA stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 83,283 | ||
| Daily Balance Of Power | (1.50) | ||
| Rate Of Daily Change | 0.97 | ||
| Day Median Price | 0.00 | ||
| Day Typical Price | 0.00 | ||
| Price Action Indicator | 0.00 |
Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in DATA. Also, note that the market value of any cryptocurrency could be closely tied with the direction of predictive economic indicators such as signals in employment. You can also try the Volatility Analysis module to get historical volatility and risk analysis based on latest market data.