Dynamic Total Return Fund Technical Analysis
| AVGYX Fund | USD 15.64 0.02 0.13% |
As of the 2nd of December, Dynamic Total shows the Downside Deviation of 0.2727, mean deviation of 0.2428, and Coefficient Of Variation of 1023.18. Dynamic Total Return technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the entity's future prices.
Dynamic Total Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Dynamic, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to DynamicDynamic |
Dynamic Total 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.
Dynamic Total Return 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 Dynamic Total Return volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Dynamic Total Return Trend Analysis
Use this graph to draw trend lines for Dynamic Total Return. You can use it to identify possible trend reversals for Dynamic Total 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 Dynamic Total price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Dynamic Total Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Dynamic Total Return applied against its price change over selected period. The best fit line has a slop of 0 , which means Dynamic Total Return will continue generating value for investors. It has 122 observation points and a regression sum of squares at 0.51, which is the sum of squared deviations for the predicted Dynamic Total price change compared to its average price change.About Dynamic Total 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 Dynamic Total Return 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 Dynamic Total Return based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Dynamic Total Return price pattern first instead of the macroeconomic environment surrounding Dynamic Total Return. By analyzing Dynamic Total'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 Dynamic Total'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 Dynamic Total specific price patterns or momentum indicators. Please read more on our technical analysis page.
Dynamic Total December 2, 2024 Technical Indicators
Most technical analysis of Dynamic 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 Dynamic from various momentum indicators to cycle indicators. When you analyze Dynamic 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 | 0.0605 | |||
| Market Risk Adjusted Performance | 0.1386 | |||
| Mean Deviation | 0.2428 | |||
| Semi Deviation | 0.1848 | |||
| Downside Deviation | 0.2727 | |||
| Coefficient Of Variation | 1023.18 | |||
| Standard Deviation | 0.3154 | |||
| Variance | 0.0995 | |||
| Information Ratio | (0.34) | |||
| Jensen Alpha | 2.0E-4 | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | (0.39) | |||
| Treynor Ratio | 0.1286 | |||
| Maximum Drawdown | 1.62 | |||
| Value At Risk | (0.46) | |||
| Potential Upside | 0.5856 | |||
| Downside Variance | 0.0743 | |||
| Semi Variance | 0.0341 | |||
| Expected Short fall | (0.30) | |||
| Skewness | 0.5412 | |||
| Kurtosis | 0.69 |
Dynamic Total Return One Year Return
Based on the recorded statements, Dynamic Total Return has an One Year Return of 11.567%. This is 22.92% higher than that of the Dreyfus family and significantly higher than that of the Macro Trading category. The one year return for all United States funds is notably lower than that of the firm.
Although One Year Fund Return indicator can give a sense of overall fund short-term potential, it is recommended to look at mid and long term return measure before selecting a particular fund or ETF. The great way to validate fund short-term performance is to compare it with other similar funds or ETFs for the same 12 months interval.Other Information on Investing in Dynamic Mutual Fund
Dynamic Total financial ratios help investors to determine whether Dynamic 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 Dynamic with respect to the benefits of owning Dynamic Total security.
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