Webs Defined Volatility Etf Market Value
| DVXP Etf | 26.61 0.56 2.15% |
| Symbol | WEBs |
The market value of WEBs Defined Volatility is measured differently than its book value, which is the value of WEBs that is recorded on the company's balance sheet. Investors also form their own opinion of WEBs Defined's value that differs from its market value or its book value, called intrinsic value, which is WEBs Defined's true underlying value. Market participants employ diverse analytical approaches to determine fair value and identify buying opportunities when prices dip below calculated worth. Because WEBs Defined's market value can be influenced by many factors that don't directly affect WEBs Defined's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
It's important to distinguish between WEBs Defined's intrinsic value and market price, which are calculated using different methodologies. Investment decisions regarding WEBs Defined should consider multiple factors including financial performance, growth metrics, competitive position, and professional analysis. Meanwhile, WEBs Defined's quoted price indicates the marketplace figure where supply meets demand through bilateral consent.
WEBs Defined '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 WEBs Defined'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 WEBs Defined.
| 11/07/2025 |
| 02/05/2026 |
If you would invest 0.00 in WEBs Defined on November 7, 2025 and sell it all today you would earn a total of 0.00 from holding WEBs Defined Volatility or generate 0.0% return on investment in WEBs Defined over 90 days. WEBs Defined is related to or competes with FT Vest, Northern Lights, Diamond Hill, Dimensional International, Tidal Trust, First Trust, and EA Series. More
WEBs Defined 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 WEBs Defined'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 WEBs Defined Volatility upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.9446 | |||
| Information Ratio | 0.2158 | |||
| Maximum Drawdown | 6.33 | |||
| Value At Risk | (1.37) | |||
| Potential Upside | 2.03 |
WEBs Defined Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for WEBs Defined's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as WEBs Defined's standard deviation. In reality, there are many statistical measures that can use WEBs Defined historical prices to predict the future WEBs Defined's volatility.| Risk Adjusted Performance | 0.1931 | |||
| Jensen Alpha | 0.3008 | |||
| Total Risk Alpha | 0.2489 | |||
| Sortino Ratio | 0.2888 | |||
| Treynor Ratio | 1.51 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of WEBs Defined'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.
WEBs Defined February 5, 2026 Technical Indicators
| Cycle Indicators | ||
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| Math Transform | ||
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| Overlap Studies | ||
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| Price Transform | ||
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| Volume Indicators |
| Risk Adjusted Performance | 0.1931 | |||
| Market Risk Adjusted Performance | 1.52 | |||
| Mean Deviation | 0.9974 | |||
| Semi Deviation | 0.6164 | |||
| Downside Deviation | 0.9446 | |||
| Coefficient Of Variation | 397.63 | |||
| Standard Deviation | 1.26 | |||
| Variance | 1.6 | |||
| Information Ratio | 0.2158 | |||
| Jensen Alpha | 0.3008 | |||
| Total Risk Alpha | 0.2489 | |||
| Sortino Ratio | 0.2888 | |||
| Treynor Ratio | 1.51 | |||
| Maximum Drawdown | 6.33 | |||
| Value At Risk | (1.37) | |||
| Potential Upside | 2.03 | |||
| Downside Variance | 0.8922 | |||
| Semi Variance | 0.3799 | |||
| Expected Short fall | (1.32) | |||
| Skewness | 0.7183 | |||
| Kurtosis | 1.18 |
WEBs Defined Volatility Backtested Returns
WEBs Defined appears to be very steady, given 3 months investment horizon. WEBs Defined Volatility retains Efficiency (Sharpe Ratio) of 0.25, which attests that the etf had a 0.25 % return per unit of volatility over the last 3 months. We have found twenty-seven technical indicators for WEBs Defined, which you can use to evaluate the volatility of the etf. Please utilize WEBs Defined's Standard Deviation of 1.26, market risk adjusted performance of 1.52, and Mean Deviation of 0.9974 to validate if our risk estimates are consistent with your expectations. The entity owns a Beta (Systematic Risk) of 0.2, which attests to not very significant fluctuations relative to the market. As returns on the market increase, WEBs Defined's returns are expected to increase less than the market. However, during the bear market, the loss of holding WEBs Defined is expected to be smaller as well.
Auto-correlation | 0.69 |
Good predictability
WEBs Defined Volatility has good predictability. Overlapping area represents the amount of predictability between WEBs Defined time series from 7th of November 2025 to 22nd of December 2025 and 22nd of December 2025 to 5th 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 WEBs Defined Volatility price movement. The serial correlation of 0.69 indicates that around 69.0% of current WEBs Defined price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.69 | |
| Spearman Rank Test | 0.7 | |
| Residual Average | 0.0 | |
| Price Variance | 1.82 |
Pair Trading with WEBs Defined
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if WEBs Defined position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in WEBs Defined will appreciate offsetting losses from the drop in the long position's value.Moving together with WEBs Etf
| 1.0 | XLP | Consumer Staples Select Sell-off Trend | PairCorr |
| 0.99 | KXI | iShares Global Consumer | PairCorr |
| 1.0 | FSTA | Fidelity MSCI Consumer | PairCorr |
The ability to find closely correlated positions to WEBs Defined could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace WEBs Defined when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back WEBs Defined - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling WEBs Defined Volatility to buy it.
The correlation of WEBs Defined is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as WEBs Defined moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if WEBs Defined Volatility moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for WEBs Defined can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out WEBs Defined Correlation, WEBs Defined Volatility and WEBs Defined Performance module to complement your research on WEBs Defined. You can also try the Fundamentals Comparison module to compare fundamentals across multiple equities to find investing opportunities.
WEBs Defined 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.