Ashmore Emerging Markets Fund Technical Analysis
| ESFCX Fund | USD 4.64 0.01 0.22% |
As of the 15th of December 2024, Ashmore Emerging shows the risk adjusted performance of 0.0258, and Mean Deviation of 0.2003. Ashmore Emerging Markets 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.
Ashmore Emerging Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Ashmore, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to AshmoreAshmore |
Ashmore Emerging 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.
Ashmore Emerging Markets 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 Ashmore Emerging Markets volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Ashmore Emerging Markets Trend Analysis
Use this graph to draw trend lines for Ashmore Emerging Markets. You can use it to identify possible trend reversals for Ashmore Emerging 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 Ashmore Emerging price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Ashmore Emerging Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Ashmore Emerging Markets applied against its price change over selected period. The best fit line has a slop of 0.0004 , which may suggest that Ashmore Emerging Markets market price will keep on failing further. It has 122 observation points and a regression sum of squares at 0.01, which is the sum of squared deviations for the predicted Ashmore Emerging price change compared to its average price change.About Ashmore Emerging 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 Ashmore Emerging Markets 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 Ashmore Emerging Markets based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Ashmore Emerging Markets price pattern first instead of the macroeconomic environment surrounding Ashmore Emerging Markets. By analyzing Ashmore Emerging'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 Ashmore Emerging'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 Ashmore Emerging specific price patterns or momentum indicators. Please read more on our technical analysis page.
Ashmore Emerging December 15, 2024 Technical Indicators
Most technical analysis of Ashmore 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 Ashmore from various momentum indicators to cycle indicators. When you analyze Ashmore 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 | 0.0258 | |||
| Market Risk Adjusted Performance | (0.13) | |||
| Mean Deviation | 0.2003 | |||
| Semi Deviation | 0.2066 | |||
| Downside Deviation | 0.4197 | |||
| Coefficient Of Variation | 1875.54 | |||
| Standard Deviation | 0.3172 | |||
| Variance | 0.1006 | |||
| Information Ratio | (0.26) | |||
| Jensen Alpha | 0.0115 | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | (0.20) | |||
| Treynor Ratio | (0.14) | |||
| Maximum Drawdown | 1.93 | |||
| Value At Risk | (0.43) | |||
| Potential Upside | 0.4405 | |||
| Downside Variance | 0.1761 | |||
| Semi Variance | 0.0427 | |||
| Expected Short fall | (0.38) | |||
| Skewness | 0.2651 | |||
| Kurtosis | 2.88 |
Other Information on Investing in Ashmore Mutual Fund
Ashmore Emerging financial ratios help investors to determine whether Ashmore 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 Ashmore with respect to the benefits of owning Ashmore Emerging security.
| Commodity Channel Use Commodity Channel Index to analyze current equity momentum | |
| Balance Of Power Check stock momentum by analyzing Balance Of Power indicator and other technical ratios | |
| Sync Your Broker Sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors. | |
| My Watchlist Analysis Analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like |