Volatility Shares Trust Etf Technical Analysis
| ETHU Etf | 19.77 2.26 10.26% |
As of the 27th of February, Volatility Shares has the Variance of 97.57, risk adjusted performance of (0.05), and Coefficient Of Variation of (1,193). 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 | Build AI portfolio with Volatility Etf |
The market value of Volatility Shares Trust is measured differently than its book value, which is the value of Volatility that is recorded on the company's balance sheet. Investors also form their own opinion of Volatility Shares' value that differs from its market value or its book value, called intrinsic value, which is Volatility Shares' true underlying value. Analysts utilize numerous techniques to assess fundamental value, seeking to purchase shares when trading prices fall beneath estimated intrinsic worth. Because Volatility Shares' market value can be influenced by many factors that don't directly affect Volatility Shares' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
It's important to distinguish between Volatility Shares' intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Volatility Shares should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Meanwhile, Volatility Shares' quoted price indicates the marketplace figure where supply meets demand through bilateral consent.
Volatility Shares '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 Volatility Shares' 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 Volatility Shares.
| 11/29/2025 |
| 02/27/2026 |
If you would invest 0.00 in Volatility Shares on November 29, 2025 and sell it all today you would earn a total of 0.00 from holding Volatility Shares Trust or generate 0.0% return on investment in Volatility Shares over 90 days. Volatility Shares is related to or competes with Grayscale Bitcoin, and Simplify Equity. Volatility Shares is entity of United States More
Volatility Shares 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 Volatility Shares' 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 Volatility Shares Trust upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | (0.09) | |||
| Maximum Drawdown | 45.74 | |||
| Value At Risk | (17.81) | |||
| Potential Upside | 16.13 |
Volatility Shares Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Volatility Shares' investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Volatility Shares' standard deviation. In reality, there are many statistical measures that can use Volatility Shares historical prices to predict the future Volatility Shares' volatility.| Risk Adjusted Performance | (0.05) | |||
| Jensen Alpha | (0.89) | |||
| Total Risk Alpha | (1.87) | |||
| Treynor Ratio | (1.25) |
Volatility Shares February 27, 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 | (0.05) | |||
| Market Risk Adjusted Performance | (1.24) | |||
| Mean Deviation | 7.14 | |||
| Coefficient Of Variation | (1,193) | |||
| Standard Deviation | 9.88 | |||
| Variance | 97.57 | |||
| Information Ratio | (0.09) | |||
| Jensen Alpha | (0.89) | |||
| Total Risk Alpha | (1.87) | |||
| Treynor Ratio | (1.25) | |||
| Maximum Drawdown | 45.74 | |||
| Value At Risk | (17.81) | |||
| Potential Upside | 16.13 | |||
| Skewness | (0.07) | |||
| Kurtosis | 0.9368 |
Volatility Shares Trust Backtested Returns
Volatility Shares Trust owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0858, which indicates the etf had a -0.0858 % return per unit of risk over the last 3 months. Volatility Shares Trust exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Volatility Shares' Coefficient Of Variation of (1,193), variance of 97.57, and Risk Adjusted Performance of (0.05) to confirm the risk estimate we provide. The entity has a beta of 0.67, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Volatility Shares' returns are expected to increase less than the market. However, during the bear market, the loss of holding Volatility Shares is expected to be smaller as well.
Auto-correlation | 0.19 |
Very weak predictability
Volatility Shares Trust has very weak predictability. Overlapping area represents the amount of predictability between Volatility Shares time series from 29th of November 2025 to 13th of January 2026 and 13th of January 2026 to 27th 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 Volatility Shares Trust price movement. The serial correlation of 0.19 indicates that over 19.0% of current Volatility Shares price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.19 | |
| Spearman Rank Test | -0.06 | |
| Residual Average | 0.0 | |
| Price Variance | 301.22 |
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 fourteen with a total number of output elements of fourty-seven. The Normalized Average True Range is used to analyze tradable apportunities for Volatility Shares Trust across different markets.
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 27, 2026 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 | (0.05) | |||
| Market Risk Adjusted Performance | (1.24) | |||
| Mean Deviation | 7.14 | |||
| Coefficient Of Variation | (1,193) | |||
| Standard Deviation | 9.88 | |||
| Variance | 97.57 | |||
| Information Ratio | (0.09) | |||
| Jensen Alpha | (0.89) | |||
| Total Risk Alpha | (1.87) | |||
| Treynor Ratio | (1.25) | |||
| Maximum Drawdown | 45.74 | |||
| Value At Risk | (17.81) | |||
| Potential Upside | 16.13 | |||
| Skewness | (0.07) | |||
| Kurtosis | 0.9368 |
Volatility Shares February 27, 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 Volatility 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 | 287,336 | ||
| Daily Balance Of Power | (2.00) | ||
| Rate Of Daily Change | 0.90 | ||
| Day Median Price | 20.01 | ||
| Day Typical Price | 19.93 | ||
| Price Action Indicator | (1.37) |
Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in Volatility Shares Trust. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in rate. You can also try the Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
The market value of Volatility Shares Trust is measured differently than its book value, which is the value of Volatility that is recorded on the company's balance sheet. Investors also form their own opinion of Volatility Shares' value that differs from its market value or its book value, called intrinsic value, which is Volatility Shares' true underlying value. Analysts utilize numerous techniques to assess fundamental value, seeking to purchase shares when trading prices fall beneath estimated intrinsic worth. Because Volatility Shares' market value can be influenced by many factors that don't directly affect Volatility Shares' underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
It's important to distinguish between Volatility Shares' intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding Volatility Shares should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Meanwhile, Volatility Shares' quoted price indicates the marketplace figure where supply meets demand through bilateral consent.