Digital Asset Monetary Stock Market Value
| DATI Stock | USD 0.0001 0.00 0.00% |
| Symbol | Digital |
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.
| 07/26/2025 |
| 01/22/2026 |
If you would invest 0.00 in Digital Asset on July 26, 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 180 days. Digital Asset is related to or competes with Alphabet, Meta Platforms, Tencent Holdings, Tencent Holdings, Prosus NV, Prosus, and DoorDash. 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 | 0.1476 | |||
| 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 | 0.1194 | |||
| Jensen Alpha | 18.49 | |||
| Total Risk Alpha | 2.71 | |||
| Treynor Ratio | (1.57) |
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 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 18.91% are justified by taking the suggested risk. Use Digital Asset Standard Deviation of 117.7, mean deviation of 38.82, 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 -11.12, 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 | -0.17 |
Insignificant reverse predictability
Digital Asset Monetary has insignificant reverse predictability. Overlapping area represents the amount of predictability between Digital Asset time series from 26th of July 2025 to 24th of October 2025 and 24th of October 2025 to 22nd 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 -0.17 indicates that over 17.0% of current Digital Asset price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.17 | |
| Spearman Rank Test | 0.53 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Digital Asset Monetary lagged returns against current returns
Autocorrelation, which is Digital Asset pink sheet'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 Digital Asset's pink sheet expected returns. We can calculate the autocorrelation of Digital Asset returns to help us make a trade decision. For example, suppose you find that Digital Asset has exhibited high autocorrelation historically, and you observe that the pink sheet 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 |
Digital Asset 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 Digital Asset pink sheet is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Digital Asset pink sheet is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Digital Asset pink sheet over time.
Current vs Lagged Prices |
| Timeline |
Digital Asset Lagged Returns
When evaluating Digital Asset's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Digital Asset pink sheet have on its future price. Digital Asset 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, Digital Asset autocorrelation shows the relationship between Digital Asset pink sheet current value and its past values and can show if there is a momentum factor associated with investing in Digital Asset Monetary.
Regressed Prices |
| Timeline |
Currently Active Assets on Macroaxis
Other Information on Investing in Digital Pink Sheet
Digital Asset financial ratios help investors to determine whether Digital Pink Sheet is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Digital with respect to the benefits of owning Digital Asset security.