Volatility Shares Trust Etf Technical Analysis
| ETHU Etf | 7.17 0.35 5.13% |
As of the 1st of February, Volatility Shares has the Coefficient Of Variation of 1158.72, risk adjusted performance of 0.0812, and Semi Deviation of 7.75. Volatility Shares technical analysis provides you with a way to harness past market data to determine a pattern that measures the direction of the etf's future prices.
Volatility Shares Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Volatility, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to VolatilityVolatility |
Volatility Shares 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.
Volatility Shares Trust 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 Volatility Shares Trust volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Volatility Shares Trust Trend Analysis
Use this graph to draw trend lines for Volatility Shares Trust. You can use it to identify possible trend reversals for Volatility Shares as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual Volatility Shares price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Volatility Shares Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Volatility Shares Trust applied against its price change over selected period. The best fit line has a slop of 0.01 , which may suggest that Volatility Shares Trust market price will keep on failing further. It has 122 observation points and a regression sum of squares at 7.14, which is the sum of squared deviations for the predicted Volatility Shares price change compared to its average price change.About Volatility Shares 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 Volatility Shares Trust 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 Volatility Shares Trust based on its technical analysis. In general, a bottom-up approach, as applied to this etf, focuses on Volatility Shares Trust price pattern first instead of the macroeconomic environment surrounding Volatility Shares Trust. By analyzing Volatility Shares'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 Volatility Shares'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 Volatility Shares specific price patterns or momentum indicators. Please read more on our technical analysis page.
Volatility Shares February 1, 2025 Technical Indicators
Most technical analysis of Volatility 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 Volatility from various momentum indicators to cycle indicators. When you analyze Volatility 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 | 0.0812 | |||
| Market Risk Adjusted Performance | (1.24) | |||
| Mean Deviation | 7.33 | |||
| Semi Deviation | 7.75 | |||
| Downside Deviation | 8.16 | |||
| Coefficient Of Variation | 1158.72 | |||
| Standard Deviation | 9.51 | |||
| Variance | 90.45 | |||
| Information Ratio | 0.0758 | |||
| Jensen Alpha | 0.8689 | |||
| Total Risk Alpha | (0.21) | |||
| Sortino Ratio | 0.0884 | |||
| Treynor Ratio | (1.25) | |||
| Maximum Drawdown | 46.46 | |||
| Value At Risk | (12.71) | |||
| Potential Upside | 18.45 | |||
| Downside Variance | 66.56 | |||
| Semi Variance | 60.02 | |||
| Expected Short fall | (8.34) | |||
| Skewness | 0.5393 | |||
| Kurtosis | 0.4402 |
Other Information on Investing in Volatility Etf
Volatility Shares financial ratios help investors to determine whether Volatility 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 Volatility with respect to the benefits of owning Volatility Shares security.