Allianzgi Vertible Fund Technical Analysis
| ANZCX Fund | USD 32.37 0.08 0.25% |
As of the 19th of April, Allianzgi Vertible shows the Downside Deviation of 0.7924, mean deviation of 0.4656, and Risk Adjusted Performance of 0.001. Allianzgi Vertible technical analysis gives you the methodology to make use of historical prices and volume patterns to determine a pattern that approximates the direction of the entity's future prices. Put another way, you can use this information to find out if the entity will indeed mirror its model of historical prices and volume momentum, or the prices will eventually revert. We were able to break down nineteen technical drivers for Allianzgi Vertible Fund, which can be compared to its peers. Please confirm Allianzgi Vertible downside deviation, treynor ratio, as well as the relationship between the Treynor Ratio and expected short fall to decide if Allianzgi Vertible is priced correctly, providing market reflects its regular price of 32.37 per share.
Allianzgi Vertible 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 Vertible 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 Vertible Technical Analysis
The output start index for this execution was fifty with a total number of output elements of eleven. 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 Vertible volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Allianzgi Vertible Trend Analysis
Use this graph to draw trend lines for Allianzgi Vertible Fund. You can use it to identify possible trend reversals for Allianzgi Vertible 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 Vertible price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Allianzgi Vertible Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Allianzgi Vertible Fund applied against its price change over selected period. The best fit line has a slop of 0.01 , which means Allianzgi Vertible Fund will continue generating value for investors. It has 122 observation points and a regression sum of squares at 4.38, which is the sum of squared deviations for the predicted Allianzgi Vertible price change compared to its average price change.About Allianzgi Vertible 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 Vertible Fund 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 Vertible Fund based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Allianzgi Vertible price pattern first instead of the macroeconomic environment surrounding Allianzgi Vertible. By analyzing Allianzgi Vertible'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 Vertible'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 Vertible specific price patterns or momentum indicators. Please read more on our technical analysis page.
Allianzgi Vertible April 19, 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.
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| Math Transform | ||
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| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.001 | |||
| Market Risk Adjusted Performance | (0) | |||
| Mean Deviation | 0.4656 | |||
| Semi Deviation | 0.7227 | |||
| Downside Deviation | 0.7924 | |||
| Coefficient Of Variation | 64504.93 | |||
| Standard Deviation | 0.619 | |||
| Variance | 0.3831 | |||
| Information Ratio | (0.11) | |||
| Jensen Alpha | (0.05) | |||
| Total Risk Alpha | (0.07) | |||
| Sortino Ratio | (0.09) | |||
| Treynor Ratio | (0.01) | |||
| Maximum Drawdown | 3.57 | |||
| Value At Risk | (1.11) | |||
| Potential Upside | 0.7387 | |||
| Downside Variance | 0.6279 | |||
| Semi Variance | 0.5223 | |||
| Expected Short fall | (0.44) | |||
| Skewness | (1.14) | |||
| Kurtosis | 2.63 |
Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Allianzgi Vertible Fund. 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 Allianzgi Vertible information on this page should be used as a complementary analysis to other Allianzgi Vertible'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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.