Webs Defined Volatility Etf Technical Analysis
| DVXP Etf | 26.06 0.01 0.04% |
As of the 4th of February, WEBs Defined owns the Market Risk Adjusted Performance of 0.582, mean deviation of 1.01, and Standard Deviation of 1.36. WEBs Defined Volatility technical analysis makes it possible for you to employ past data patterns with the intention to determine a pattern that calculates the direction of the etf's future prices.
WEBs Defined Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as WEBs, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to WEBsWEBs Defined's Momentum analyses are specifically helpful, as they help investors time the market using mark points where the market can reverse. The reversal spots are usually identified through divergence between price movement and momentum.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.
| 11/06/2025 |
| 02/04/2026 |
If you would invest 0.00 in WEBs Defined on November 6, 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. WEBs Defined is entity of United States. It is traded as Etf on NASDAQ exchange. 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 | 1.23 | |||
| Information Ratio | 0.0827 | |||
| Maximum Drawdown | 6.33 | |||
| Value At Risk | (1.56) | |||
| 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 | 0.0939 | |||
| Jensen Alpha | 0.1441 | |||
| Total Risk Alpha | 0.0759 | |||
| Sortino Ratio | 0.0919 | |||
| Treynor Ratio | 0.572 |
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 4, 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 | 0.0939 | |||
| Market Risk Adjusted Performance | 0.582 | |||
| Mean Deviation | 1.01 | |||
| Semi Deviation | 1.06 | |||
| Downside Deviation | 1.23 | |||
| Coefficient Of Variation | 822.27 | |||
| Standard Deviation | 1.36 | |||
| Variance | 1.86 | |||
| Information Ratio | 0.0827 | |||
| Jensen Alpha | 0.1441 | |||
| Total Risk Alpha | 0.0759 | |||
| Sortino Ratio | 0.0919 | |||
| Treynor Ratio | 0.572 | |||
| Maximum Drawdown | 6.33 | |||
| Value At Risk | (1.56) | |||
| Potential Upside | 2.03 | |||
| Downside Variance | 1.51 | |||
| Semi Variance | 1.13 | |||
| Expected Short fall | (1.28) | |||
| Skewness | 0.0773 | |||
| Kurtosis | 2.61 |
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 thirty technical indicators for WEBs Defined, which you can use to evaluate the volatility of the etf. Please utilize WEBs Defined's Mean Deviation of 1.01, standard deviation of 1.36, and Market Risk Adjusted Performance of 0.582 to validate if our risk estimates are consistent with your expectations. The entity owns a Beta (Systematic Risk) of 0.27, 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 | 0.81 |
Very good predictability
WEBs Defined Volatility has very good predictability. Overlapping area represents the amount of predictability between WEBs Defined time series from 6th of November 2025 to 21st of December 2025 and 21st of December 2025 to 4th 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 0.81 indicates that around 81.0% of current WEBs Defined price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.81 | |
| Spearman Rank Test | 0.73 | |
| Residual Average | 0.0 | |
| Price Variance | 1.55 |
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.
WEBs Defined Volatility 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 WEBs Defined Volatility volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About WEBs Defined 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 WEBs Defined Volatility 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 WEBs Defined Volatility based on its technical analysis. In general, a bottom-up approach, as applied to this etf, focuses on WEBs Defined Volatility price pattern first instead of the macroeconomic environment surrounding WEBs Defined Volatility. By analyzing WEBs Defined'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 WEBs Defined'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 WEBs Defined specific price patterns or momentum indicators. Please read more on our technical analysis page.
WEBs Defined February 4, 2026 Technical Indicators
Most technical analysis of WEBs 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 WEBs from various momentum indicators to cycle indicators. When you analyze WEBs 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 | 0.0939 | |||
| Market Risk Adjusted Performance | 0.582 | |||
| Mean Deviation | 1.01 | |||
| Semi Deviation | 1.06 | |||
| Downside Deviation | 1.23 | |||
| Coefficient Of Variation | 822.27 | |||
| Standard Deviation | 1.36 | |||
| Variance | 1.86 | |||
| Information Ratio | 0.0827 | |||
| Jensen Alpha | 0.1441 | |||
| Total Risk Alpha | 0.0759 | |||
| Sortino Ratio | 0.0919 | |||
| Treynor Ratio | 0.572 | |||
| Maximum Drawdown | 6.33 | |||
| Value At Risk | (1.56) | |||
| Potential Upside | 2.03 | |||
| Downside Variance | 1.51 | |||
| Semi Variance | 1.13 | |||
| Expected Short fall | (1.28) | |||
| Skewness | 0.0773 | |||
| Kurtosis | 2.61 |
WEBs Defined February 4, 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 WEBs 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 | 0.00 | ||
| Daily Balance Of Power | 1.00 | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 26.06 | ||
| Day Typical Price | 26.06 | ||
| Price Action Indicator | 0.01 | ||
| Market Facilitation Index | 0.01 |
Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in WEBs Defined Volatility. Also, note that the market value of any etf could be closely tied with the direction of predictive economic indicators such as signals in median. You can also try the Companies Directory module to evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals.
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.