Dynamic Active Mining Etf Technical Analysis
| DXMO Etf | 39.07 3.04 7.22% |
As of the 1st of February, Dynamic Active shows the Coefficient Of Variation of 577.69, downside deviation of 2.4, and Mean Deviation of 1.73. Our technical analysis interface provides you with a way to check existing technical drivers of Dynamic Active Mining, as well as the relationship between them.
Dynamic Active Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Dynamic, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to DynamicDynamic |
Dynamic Active '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 Dynamic Active's etf 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 Dynamic Active.
| 11/03/2025 |
| 02/01/2026 |
If you would invest 0.00 in Dynamic Active on November 3, 2025 and sell it all today you would earn a total of 0.00 from holding Dynamic Active Mining or generate 0.0% return on investment in Dynamic Active over 90 days. Dynamic Active is related to or competes with Dynamic Active, Dynamic Active, Dynamic Active, Dynamic Active, Dynamic Active, Dynamic Active, and Dynamic Active. More
Dynamic Active 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 Dynamic Active's etf 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 Dynamic Active Mining upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 2.4 | |||
| Information Ratio | 0.1536 | |||
| Maximum Drawdown | 14.44 | |||
| Value At Risk | (3.28) | |||
| Potential Upside | 4.01 |
Dynamic Active Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Dynamic Active's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Dynamic Active's standard deviation. In reality, there are many statistical measures that can use Dynamic Active historical prices to predict the future Dynamic Active's volatility.| Risk Adjusted Performance | 0.1321 | |||
| Jensen Alpha | 0.3976 | |||
| Total Risk Alpha | 0.2774 | |||
| Sortino Ratio | 0.1477 | |||
| Treynor Ratio | (1.52) |
Dynamic Active February 1, 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 | 0.1321 | |||
| Market Risk Adjusted Performance | (1.51) | |||
| Mean Deviation | 1.73 | |||
| Semi Deviation | 1.89 | |||
| Downside Deviation | 2.4 | |||
| Coefficient Of Variation | 577.69 | |||
| Standard Deviation | 2.3 | |||
| Variance | 5.3 | |||
| Information Ratio | 0.1536 | |||
| Jensen Alpha | 0.3976 | |||
| Total Risk Alpha | 0.2774 | |||
| Sortino Ratio | 0.1477 | |||
| Treynor Ratio | (1.52) | |||
| Maximum Drawdown | 14.44 | |||
| Value At Risk | (3.28) | |||
| Potential Upside | 4.01 | |||
| Downside Variance | 5.74 | |||
| Semi Variance | 3.59 | |||
| Expected Short fall | (2.08) | |||
| Skewness | (0.23) | |||
| Kurtosis | 1.82 |
Dynamic Active Mining Backtested Returns
Dynamic Active appears to be very steady, given 3 months investment horizon. Dynamic Active Mining secures Sharpe Ratio (or Efficiency) of 0.17, which denotes the etf had a 0.17 % return per unit of risk over the last 3 months. We have found thirty technical indicators for Dynamic Active Mining, which you can use to evaluate the volatility of the entity. Please utilize Dynamic Active's Downside Deviation of 2.4, mean deviation of 1.73, and Coefficient Of Variation of 577.69 to check if our risk estimates are consistent with your expectations. The etf shows a Beta (market volatility) of -0.26, which means not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Dynamic Active are expected to decrease at a much lower rate. During the bear market, Dynamic Active is likely to outperform the market.
Auto-correlation | 0.67 |
Good predictability
Dynamic Active Mining has good predictability. Overlapping area represents the amount of predictability between Dynamic Active time series from 3rd of November 2025 to 18th of December 2025 and 18th of December 2025 to 1st of February 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 Dynamic Active Mining price movement. The serial correlation of 0.67 indicates that around 67.0% of current Dynamic Active price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.67 | |
| Spearman Rank Test | 0.74 | |
| Residual Average | 0.0 | |
| Price Variance | 7.48 |
Dynamic Active technical etf 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, etf market cycles, or different charting patterns.
Dynamic Active Mining Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. 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 Dynamic Active Mining volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Dynamic Active 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 Dynamic Active Mining 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 Dynamic Active Mining based on its technical analysis. In general, a bottom-up approach, as applied to this etf, focuses on Dynamic Active Mining price pattern first instead of the macroeconomic environment surrounding Dynamic Active Mining. By analyzing Dynamic Active'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 Dynamic Active'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 Dynamic Active specific price patterns or momentum indicators. Please read more on our technical analysis page.
Dynamic Active February 1, 2026 Technical Indicators
Most technical analysis of Dynamic 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 Dynamic from various momentum indicators to cycle indicators. When you analyze Dynamic 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 | 0.1321 | |||
| Market Risk Adjusted Performance | (1.51) | |||
| Mean Deviation | 1.73 | |||
| Semi Deviation | 1.89 | |||
| Downside Deviation | 2.4 | |||
| Coefficient Of Variation | 577.69 | |||
| Standard Deviation | 2.3 | |||
| Variance | 5.3 | |||
| Information Ratio | 0.1536 | |||
| Jensen Alpha | 0.3976 | |||
| Total Risk Alpha | 0.2774 | |||
| Sortino Ratio | 0.1477 | |||
| Treynor Ratio | (1.52) | |||
| Maximum Drawdown | 14.44 | |||
| Value At Risk | (3.28) | |||
| Potential Upside | 4.01 | |||
| Downside Variance | 5.74 | |||
| Semi Variance | 3.59 | |||
| Expected Short fall | (2.08) | |||
| Skewness | (0.23) | |||
| Kurtosis | 1.82 |
Dynamic Active February 1, 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 Dynamic 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 | 0.06 | ||
| Daily Balance Of Power | (1.32) | ||
| Rate Of Daily Change | 0.93 | ||
| Day Median Price | 39.86 | ||
| Day Typical Price | 39.59 | ||
| Price Action Indicator | (2.30) | ||
| Market Facilitation Index | 2.31 |
Other Information on Investing in Dynamic Etf
Dynamic Active financial ratios help investors to determine whether Dynamic Etf 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 Dynamic with respect to the benefits of owning Dynamic Active security.