High Yield Fund R Fund Technical Analysis
| AHYRX Fund | USD 5.12 0.01 0.19% |
As of the 28th of November, High Yield retains the Downside Deviation of 0.242, risk adjusted performance of 0.0192, and Market Risk Adjusted Performance of 0.1003. High Yield technical analysis makes it possible for you to employ historical prices and volume momentum with the intention to determine a pattern that calculates the direction of the entity's future prices.
High Yield Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as High, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to HighHigh |
High Yield 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.
High Yield Fund Technical Analysis
Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. 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 High Yield Fund volatility. High ATR values indicate high volatility, and low values indicate low volatility.
High Yield Fund Trend Analysis
Use this graph to draw trend lines for High Yield Fund R. You can use it to identify possible trend reversals for High Yield 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 High Yield price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.High Yield Best Fit Change Line
The following chart estimates an ordinary least squares regression model for High Yield Fund R applied against its price change over selected period. The best fit line has a slop of 0 , which may suggest that High Yield Fund R market price will keep on failing further. It has 122 observation points and a regression sum of squares at 0.0, which is the sum of squared deviations for the predicted High Yield price change compared to its average price change.About High Yield 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 High Yield Fund R 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 High Yield Fund R based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on High Yield Fund price pattern first instead of the macroeconomic environment surrounding High Yield Fund. By analyzing High Yield'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 High Yield'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 High Yield specific price patterns or momentum indicators. Please read more on our technical analysis page.
High Yield November 28, 2024 Technical Indicators
Most technical analysis of High 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 High from various momentum indicators to cycle indicators. When you analyze High 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 | 0.0192 | |||
| Market Risk Adjusted Performance | 0.1003 | |||
| Mean Deviation | 0.1129 | |||
| Semi Deviation | 0.0572 | |||
| Downside Deviation | 0.242 | |||
| Coefficient Of Variation | 1393.8 | |||
| Standard Deviation | 0.1676 | |||
| Variance | 0.0281 | |||
| Information Ratio | (0.68) | |||
| Jensen Alpha | (0.0006) | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.47) | |||
| Treynor Ratio | 0.0903 | |||
| Maximum Drawdown | 0.782 | |||
| Value At Risk | (0.20) | |||
| Potential Upside | 0.3899 | |||
| Downside Variance | 0.0586 | |||
| Semi Variance | 0.0033 | |||
| Expected Short fall | (0.24) | |||
| Skewness | 0.1888 | |||
| Kurtosis | 0.5051 |
High Yield Fund One Year Return
Based on the recorded statements, High Yield Fund R has an One Year Return of 10.331%. This is 2892.16% lower than that of the American Century Investments family and significantly higher than that of the High Yield Bond 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 High Mutual Fund
High Yield financial ratios help investors to determine whether High 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 High with respect to the benefits of owning High Yield security.
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