Emerging Markets Portfolio Fund Technical Analysis
| MGEMX Fund | USD 22.49 0.21 0.93% |
As of the 13th of November 2024, Emerging Markets shows the Mean Deviation of 0.7568, coefficient of variation of 1279.68, and Downside Deviation of 0.9773. In respect to fundamental indicators, the technical analysis model provides you with a way to check existing technical drivers of Emerging Markets, as well as the relationship between them.
Emerging Markets Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Emerging, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to EmergingEmerging |
Emerging Markets 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.
Emerging Markets Por Technical Analysis
The output start index for this execution was fourteen with a total number of output elements of fourty-seven. 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 Emerging Markets Por volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Emerging Markets Por Trend Analysis
Use this graph to draw trend lines for Emerging Markets Portfolio. You can use it to identify possible trend reversals for Emerging Markets 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 Emerging Markets price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Emerging Markets Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Emerging Markets Portfolio applied against its price change over selected period. The best fit line has a slop of 0.02 , which means Emerging Markets Portfolio will continue generating value for investors. It has 122 observation points and a regression sum of squares at 11.19, which is the sum of squared deviations for the predicted Emerging Markets price change compared to its average price change.About Emerging Markets 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 Emerging Markets 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 Emerging Markets Portfolio based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Emerging Markets Por price pattern first instead of the macroeconomic environment surrounding Emerging Markets Por. By analyzing Emerging Markets'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 Emerging Markets'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 Emerging Markets specific price patterns or momentum indicators. Please read more on our technical analysis page.
Emerging Markets November 13, 2024 Technical Indicators
Most technical analysis of Emerging 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 Emerging from various momentum indicators to cycle indicators. When you analyze Emerging 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 | 0.0621 | |||
| Market Risk Adjusted Performance | (1.22) | |||
| Mean Deviation | 0.7568 | |||
| Semi Deviation | 0.871 | |||
| Downside Deviation | 0.9773 | |||
| Coefficient Of Variation | 1279.68 | |||
| Standard Deviation | 0.9581 | |||
| Variance | 0.9179 | |||
| Information Ratio | (0.1) | |||
| Jensen Alpha | 0.0732 | |||
| Total Risk Alpha | (0.13) | |||
| Sortino Ratio | (0.1) | |||
| Treynor Ratio | (1.23) | |||
| Maximum Drawdown | 4.23 | |||
| Value At Risk | (1.69) | |||
| Potential Upside | 1.41 | |||
| Downside Variance | 0.9551 | |||
| Semi Variance | 0.7587 | |||
| Expected Short fall | (0.77) | |||
| Skewness | (0.05) | |||
| Kurtosis | 0.0148 |
Other Information on Investing in Emerging Mutual Fund
Emerging Markets financial ratios help investors to determine whether Emerging 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 Emerging with respect to the benefits of owning Emerging Markets security.
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