Guggenheim Rbp Dividend Fund Technical Analysis
Concerning fundamental indicators, the technical analysis model lets you check existing technical drivers of Guggenheim Rbp Dividend, as well as the relationship between them. Simply put, you can use this information to find out if the entity will indeed mirror its model of historical price patterns, or the prices will eventually revert. We were able to break down zero technical drivers for Guggenheim Rbp Dividend, which can be compared to its competitors.
Guggenheim Rbp Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Guggenheim, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to GuggenheimGuggenheim |
Guggenheim Rbp 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.
Guggenheim Rbp Dividend Technical Analysis
We are not able to run technical analysis function on this symbol. We either do not have that equity or its historical data is not available at this time. Please try again later.
Guggenheim Rbp Dividend Trend Analysis
Use this graph to draw trend lines for Guggenheim Rbp Dividend. You can use it to identify possible trend reversals for Guggenheim Rbp 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 Guggenheim Rbp price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Guggenheim Rbp Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Guggenheim Rbp Dividend applied against its price change over selected period. The best fit line has a slop of NaN , . It has 0 observation points and a regression sum of squares at 0.0, which is the sum of squared deviations for the predicted Guggenheim Rbp price change compared to its average price change.About Guggenheim Rbp 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 Guggenheim Rbp Dividend 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 Guggenheim Rbp Dividend based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Guggenheim Rbp Dividend price pattern first instead of the macroeconomic environment surrounding Guggenheim Rbp Dividend. By analyzing Guggenheim Rbp'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 Guggenheim Rbp'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 Guggenheim Rbp specific price patterns or momentum indicators. Please read more on our technical analysis page.
Guggenheim Rbp April 24, 2024 Technical Indicators
Most technical analysis of Guggenheim 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 Guggenheim from various momentum indicators to cycle indicators. When you analyze Guggenheim 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 | 0.0469 | |||
Market Risk Adjusted Performance | 2.1 | |||
Mean Deviation | 0.5234 | |||
Semi Deviation | 0.6115 | |||
Downside Deviation | 0.7201 | |||
Coefficient Of Variation | 1351.97 | |||
Standard Deviation | 0.6795 | |||
Variance | 0.4617 | |||
Information Ratio | (0.07) | |||
Jensen Alpha | 0.0386 | |||
Total Risk Alpha | (0.05) | |||
Sortino Ratio | (0.06) | |||
Treynor Ratio | 2.09 | |||
Maximum Drawdown | 3.25 | |||
Value At Risk | (1.31) | |||
Potential Upside | 0.9908 | |||
Downside Variance | 0.5186 | |||
Semi Variance | 0.3739 | |||
Expected Short fall | (0.56) | |||
Skewness | 0.0462 | |||
Kurtosis | 0.1415 |
Guggenheim Rbp Dividend One Year Return
Based on the recorded statements, Guggenheim Rbp Dividend has an One Year Return of 17.2234%. This is much higher than that of the Guggenheim Investments family and significantly higher than that of the Large Value 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.Check out World Market Map to better understand how to build diversified portfolios, which includes a position in Guggenheim Rbp Dividend. Also, note that the market value of any mutual fund could be tightly coupled with the direction of predictive economic indicators such as signals in main economic indicators. Note that the Guggenheim Rbp Dividend information on this page should be used as a complementary analysis to other Guggenheim Rbp's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Aroon Oscillator module to analyze current equity momentum using Aroon Oscillator and other momentum ratios.