High Yield Portfolio Fund Technical Analysis
| MSYPX Fund | USD 8.55 0.01 0.12% |
As of the 13th of December 2024, High Yield retains the Market Risk Adjusted Performance of 0.0426, downside deviation of 0.2696, and Risk Adjusted Performance of 0.0217. Concerning fundamental indicators, the technical analysis model lets you check existing technical drivers of High Yield Portfolio, as well as the relationship between them.
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 Portfolio Technical Analysis
The output start index for this execution was fifty-two with a total number of output elements of nine. 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 Portfolio volatility. High ATR values indicate high volatility, and low values indicate low volatility.
High Yield Portfolio Trend Analysis
Use this graph to draw trend lines for High Yield Portfolio. 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 Portfolio applied against its price change over selected period. The best fit line has a slop of 0 , which means High Yield Portfolio will continue generating value for investors. It has 122 observation points and a regression sum of squares at 0.06, 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 Portfolio 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 Portfolio based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on High Yield Portfolio price pattern first instead of the macroeconomic environment surrounding High Yield Portfolio. 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 December 13, 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 | 0.0217 | |||
| Market Risk Adjusted Performance | 0.0426 | |||
| Mean Deviation | 0.1093 | |||
| Semi Deviation | 0.1318 | |||
| Downside Deviation | 0.2696 | |||
| Coefficient Of Variation | 1277.7 | |||
| Standard Deviation | 0.1608 | |||
| Variance | 0.0259 | |||
| Information Ratio | (0.62) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.37) | |||
| Treynor Ratio | 0.0326 | |||
| Maximum Drawdown | 0.9316 | |||
| Value At Risk | (0.23) | |||
| Potential Upside | 0.2328 | |||
| Downside Variance | 0.0727 | |||
| Semi Variance | 0.0174 | |||
| Expected Short fall | (0.14) | |||
| Skewness | (2.05) | |||
| Kurtosis | 6.94 |
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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