Digital Asset Monetary Stock Technical Analysis
| DATI Stock | USD 0.0001 0.00 0.00% |
As of the 25th of January, Digital Asset shows the Mean Deviation of 38.82, variance of 13853.7, and Standard Deviation of 117.7. Digital Asset Monetary technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the firm's future prices.
Digital Asset Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Digital, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to DigitalDigital |
Digital Asset '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 Digital Asset's pink sheet 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 Digital Asset.
| 10/27/2025 |
| 01/25/2026 |
If you would invest 0.00 in Digital Asset on October 27, 2025 and sell it all today you would earn a total of 0.00 from holding Digital Asset Monetary or generate 0.0% return on investment in Digital Asset over 90 days. Digital Asset Monetary Network, Inc. operates as a public accelerator-incubator More
Digital Asset 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 Digital Asset's pink sheet 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 Digital Asset Monetary upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.1478 | |||
| Maximum Drawdown | 990.0 |
Digital Asset Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Digital Asset's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Digital Asset's standard deviation. In reality, there are many statistical measures that can use Digital Asset historical prices to predict the future Digital Asset's volatility.| Risk Adjusted Performance | 0.1186 | |||
| Jensen Alpha | 18.32 | |||
| Total Risk Alpha | 6.48 | |||
| Treynor Ratio | (1.40) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Digital Asset's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Digital Asset January 25, 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 | 0.1186 | |||
| Market Risk Adjusted Performance | (1.39) | |||
| Mean Deviation | 38.82 | |||
| Coefficient Of Variation | 673.55 | |||
| Standard Deviation | 117.7 | |||
| Variance | 13853.7 | |||
| Information Ratio | 0.1478 | |||
| Jensen Alpha | 18.32 | |||
| Total Risk Alpha | 6.48 | |||
| Treynor Ratio | (1.40) | |||
| Maximum Drawdown | 990.0 | |||
| Skewness | 6.82 | |||
| Kurtosis | 50.5 |
Digital Asset Monetary Backtested Returns
Digital Asset is out of control given 3 months investment horizon. Digital Asset Monetary secures Sharpe Ratio (or Efficiency) of 0.15, which denotes the company had a 0.15 % return per unit of risk over the last 3 months. We were able to interpolate and analyze data for sixteen different technical indicators, which can help you to evaluate if expected returns of 18.31% are justified by taking the suggested risk. Use Digital Asset Mean Deviation of 38.82, standard deviation of 117.7, and Variance of 13853.7 to evaluate company specific risk that cannot be diversified away. Digital Asset holds a performance score of 12 on a scale of zero to a hundred. The firm shows a Beta (market volatility) of -12.47, which means a somewhat significant risk relative to the market. As returns on the market increase, returns on owning Digital Asset are expected to decrease by larger amounts. On the other hand, during market turmoil, Digital Asset is expected to outperform it. Use Digital Asset mean deviation, information ratio, as well as the relationship between the Information Ratio and kurtosis , to analyze future returns on Digital Asset.
Auto-correlation | -0.25 |
Weak reverse predictability
Digital Asset Monetary has weak reverse predictability. Overlapping area represents the amount of predictability between Digital Asset time series from 27th of October 2025 to 11th of December 2025 and 11th of December 2025 to 25th 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 Digital Asset Monetary price movement. The serial correlation of -0.25 indicates that over 25.0% of current Digital Asset price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.25 | |
| Spearman Rank Test | -0.35 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Digital Asset technical pink sheet 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, pink sheet market cycles, or different charting patterns.
Digital Asset Monetary 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 Digital Asset Monetary volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Digital Asset 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 Digital Asset Monetary 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 Digital Asset Monetary based on its technical analysis. In general, a bottom-up approach, as applied to this company, focuses on Digital Asset Monetary price pattern first instead of the macroeconomic environment surrounding Digital Asset Monetary. By analyzing Digital Asset's financials, daily price indicators, and related drivers such as dividends, momentum ratios, and various types of growth rates, we attempt to find the most accurate representation of Digital Asset's intrinsic value. As compared to a bottom-up approach, our top-down model examines the macroeconomic factors that affect the industry/economy before zooming in to Digital Asset specific price patterns or momentum indicators. Please read more on our technical analysis page.
Digital Asset January 25, 2026 Technical Indicators
Most technical analysis of Digital 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 Digital from various momentum indicators to cycle indicators. When you analyze Digital 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 | 0.1186 | |||
| Market Risk Adjusted Performance | (1.39) | |||
| Mean Deviation | 38.82 | |||
| Coefficient Of Variation | 673.55 | |||
| Standard Deviation | 117.7 | |||
| Variance | 13853.7 | |||
| Information Ratio | 0.1478 | |||
| Jensen Alpha | 18.32 | |||
| Total Risk Alpha | 6.48 | |||
| Treynor Ratio | (1.40) | |||
| Maximum Drawdown | 990.0 | |||
| Skewness | 6.82 | |||
| Kurtosis | 50.5 |
Digital Asset January 25, 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 Digital 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 | 0.00 | ||
| Daily Balance Of Power | 0.00 | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 0.00 | ||
| Day Typical Price | 0.00 | ||
| Price Action Indicator | 0.00 |
Complementary Tools for Digital Pink Sheet analysis
When running Digital Asset's price analysis, check to measure Digital Asset's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Digital Asset is operating at the current time. Most of Digital Asset's value examination focuses on studying past and present price action to predict the probability of Digital Asset's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Digital Asset's price. Additionally, you may evaluate how the addition of Digital Asset to your portfolios can decrease your overall portfolio volatility.
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