Allianzgi Health Sciences Fund Technical Analysis
| RAGHX Fund | USD 28.60 0.25 0.88% |
As of the 26th of November, Allianzgi Health shows the Risk Adjusted Performance of (0.1), standard deviation of 0.7562, and Mean Deviation of 0.6088. In respect to fundamental indicators, the technical analysis model gives you tools to check existing technical drivers of Allianzgi Health, as well as the relationship between them.
Allianzgi Health Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as ALLIANZGI, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to ALLIANZGIALLIANZGI |
Allianzgi Health 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.
Allianzgi Health Sciences Technical Analysis
The output start index for this execution was twelve with a total number of output elements of fourty-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 Allianzgi Health Sciences volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Allianzgi Health Sciences Trend Analysis
Use this graph to draw trend lines for Allianzgi Health Sciences. You can use it to identify possible trend reversals for Allianzgi Health 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 Allianzgi Health price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Allianzgi Health Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Allianzgi Health Sciences applied against its price change over selected period. The best fit line has a slop of 0.04 , which may suggest that Allianzgi Health Sciences market price will keep on failing further. It has 122 observation points and a regression sum of squares at 61.1, which is the sum of squared deviations for the predicted Allianzgi Health price change compared to its average price change.About Allianzgi Health 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 Allianzgi Health Sciences 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 Allianzgi Health Sciences based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Allianzgi Health Sciences price pattern first instead of the macroeconomic environment surrounding Allianzgi Health Sciences. By analyzing Allianzgi Health'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 Allianzgi Health'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 Allianzgi Health specific price patterns or momentum indicators. Please read more on our technical analysis page.
Allianzgi Health November 26, 2024 Technical Indicators
Most technical analysis of ALLIANZGI 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 ALLIANZGI from various momentum indicators to cycle indicators. When you analyze ALLIANZGI 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 | (0.1) | |||
| Market Risk Adjusted Performance | (0.15) | |||
| Mean Deviation | 0.6088 | |||
| Coefficient Of Variation | (771.18) | |||
| Standard Deviation | 0.7562 | |||
| Variance | 0.5718 | |||
| Information Ratio | (0.30) | |||
| Jensen Alpha | (0.19) | |||
| Total Risk Alpha | (0.23) | |||
| Treynor Ratio | (0.16) | |||
| Maximum Drawdown | 3.33 | |||
| Value At Risk | (1.37) | |||
| Potential Upside | 0.9159 | |||
| Skewness | (0.36) | |||
| Kurtosis | (0.06) |
Other Information on Investing in ALLIANZGI Mutual Fund
Allianzgi Health financial ratios help investors to determine whether ALLIANZGI 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 ALLIANZGI with respect to the benefits of owning Allianzgi Health security.
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