Us Vector Equity Fund Technical Analysis
| DFVEX Fund | USD 32.06 0.07 0.22% |
As of the 4th of February, Us Vector owns the Risk Adjusted Performance of 0.0927, downside deviation of 0.7877, and Mean Deviation of 0.5667. Us Vector Equity technical analysis provides you with a way to harness past data patterns to determine a pattern that measures the direction of the fund's future prices.
Us Vector Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as DFVEX, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to DFVEXDFVEX |
Us Vector '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 Us Vector's mutual fund 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 Us Vector.
| 11/06/2025 |
| 02/04/2026 |
If you would invest 0.00 in Us Vector on November 6, 2025 and sell it all today you would earn a total of 0.00 from holding Us Vector Equity or generate 0.0% return on investment in Us Vector over 90 days. Us Vector is related to or competes with Dunham Porategovernment, Us Government, Inverse Government, Us Government, Prudential Government, Short-term Government, and Vanguard Intermediate-ter. The fund purchases a broad and diverse group of equity securities of U.S More
Us Vector 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 Us Vector's mutual fund 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 Us Vector Equity upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.7877 | |||
| Information Ratio | 0.0545 | |||
| Maximum Drawdown | 3.57 | |||
| Value At Risk | (1.30) | |||
| Potential Upside | 1.31 |
Us Vector Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Us Vector's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Us Vector's standard deviation. In reality, there are many statistical measures that can use Us Vector historical prices to predict the future Us Vector's volatility.| Risk Adjusted Performance | 0.0927 | |||
| Jensen Alpha | 0.0456 | |||
| Total Risk Alpha | 0.04 | |||
| Sortino Ratio | 0.0511 | |||
| Treynor Ratio | 0.0951 |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Us Vector'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.
Us Vector 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 | 0.0927 | |||
| Market Risk Adjusted Performance | 0.1051 | |||
| Mean Deviation | 0.5667 | |||
| Semi Deviation | 0.6357 | |||
| Downside Deviation | 0.7877 | |||
| Coefficient Of Variation | 792.76 | |||
| Standard Deviation | 0.7396 | |||
| Variance | 0.547 | |||
| Information Ratio | 0.0545 | |||
| Jensen Alpha | 0.0456 | |||
| Total Risk Alpha | 0.04 | |||
| Sortino Ratio | 0.0511 | |||
| Treynor Ratio | 0.0951 | |||
| Maximum Drawdown | 3.57 | |||
| Value At Risk | (1.30) | |||
| Potential Upside | 1.31 | |||
| Downside Variance | 0.6205 | |||
| Semi Variance | 0.4042 | |||
| Expected Short fall | (0.63) | |||
| Skewness | (0.16) | |||
| Kurtosis | 0.2471 |
Us Vector Equity Backtested Returns
At this stage we consider DFVEX Mutual Fund to be very steady. Us Vector Equity retains Efficiency (Sharpe Ratio) of 0.18, which indicates the fund had a 0.18 % return per unit of price deviation over the last 3 months. We have found twenty-seven technical indicators for Us Vector, which you can use to evaluate the volatility of the fund. Please validate Us Vector's Risk Adjusted Performance of 0.0927, downside deviation of 0.7877, and Mean Deviation of 0.5667 to confirm if the risk estimate we provide is consistent with the expected return of 0.14%. The entity owns a Beta (Systematic Risk) of 0.88, which indicates possible diversification benefits within a given portfolio. Us Vector returns are very sensitive to returns on the market. As the market goes up or down, Us Vector is expected to follow.
Auto-correlation | 0.66 |
Good predictability
Us Vector Equity has good predictability. Overlapping area represents the amount of predictability between Us Vector 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 Us Vector Equity price movement. The serial correlation of 0.66 indicates that around 66.0% of current Us Vector price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.66 | |
| Spearman Rank Test | 0.8 | |
| Residual Average | 0.0 | |
| Price Variance | 0.14 |
Us Vector technical mutual fund 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, fund market cycles, or different charting patterns.
Us Vector Equity 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 Us Vector Equity volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Us Vector 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 Us Vector Equity 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 Us Vector Equity based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Us Vector Equity price pattern first instead of the macroeconomic environment surrounding Us Vector Equity. By analyzing Us Vector'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 Us Vector'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 Us Vector specific price patterns or momentum indicators. Please read more on our technical analysis page.
Us Vector February 4, 2026 Technical Indicators
Most technical analysis of DFVEX 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 DFVEX from various momentum indicators to cycle indicators. When you analyze DFVEX 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 | 0.0927 | |||
| Market Risk Adjusted Performance | 0.1051 | |||
| Mean Deviation | 0.5667 | |||
| Semi Deviation | 0.6357 | |||
| Downside Deviation | 0.7877 | |||
| Coefficient Of Variation | 792.76 | |||
| Standard Deviation | 0.7396 | |||
| Variance | 0.547 | |||
| Information Ratio | 0.0545 | |||
| Jensen Alpha | 0.0456 | |||
| Total Risk Alpha | 0.04 | |||
| Sortino Ratio | 0.0511 | |||
| Treynor Ratio | 0.0951 | |||
| Maximum Drawdown | 3.57 | |||
| Value At Risk | (1.30) | |||
| Potential Upside | 1.31 | |||
| Downside Variance | 0.6205 | |||
| Semi Variance | 0.4042 | |||
| Expected Short fall | (0.63) | |||
| Skewness | (0.16) | |||
| Kurtosis | 0.2471 |
Us Vector 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 DFVEX 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 | (Huge) | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 32.06 | ||
| Day Typical Price | 32.06 | ||
| Price Action Indicator | (0.04) |
Other Information on Investing in DFVEX Mutual Fund
Us Vector financial ratios help investors to determine whether DFVEX Mutual Fund 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 DFVEX with respect to the benefits of owning Us Vector security.
| Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
| Money Flow Index Determine momentum by analyzing Money Flow Index and other technical indicators | |
| Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets | |
| Economic Indicators Top statistical indicators that provide insights into how an economy is performing |