The Emerging Markets Fund Technical Analysis
| HCEMX Fund | USD 25.34 0.48 1.86% |
As of the 3rd of March, The Emerging has the Semi Deviation of 0.9167, risk adjusted performance of 0.1194, and Coefficient Of Variation of 652.63. Our technical analysis interface makes it possible for you to check existing technical drivers of Emerging Markets, as well as the relationship between them.
The 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 The, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to TheThe |
The Emerging 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to The Emerging's mutual fund what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of The Emerging.
| 12/03/2025 |
| 03/03/2026 |
If you would invest 0.00 in The Emerging on December 3, 2025 and sell it all today you would earn a total of 0.00 from holding The Emerging Markets or generate 0.0% return on investment in The Emerging over 90 days. The Emerging is entity of United States. It is traded as Fund on NMFQS exchange. More
The Emerging Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure The Emerging's mutual fund current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess The Emerging Markets upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 1.19 | |||
| Information Ratio | 0.0707 | |||
| Maximum Drawdown | 5.37 | |||
| Value At Risk | (1.11) | |||
| Potential Upside | 1.62 |
The Emerging Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for The Emerging's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as The Emerging's standard deviation. In reality, there are many statistical measures that can use The Emerging historical prices to predict the future The Emerging's volatility.| Risk Adjusted Performance | 0.1194 | |||
| Jensen Alpha | 0.1045 | |||
| Total Risk Alpha | 0.0493 | |||
| Sortino Ratio | 0.0581 | |||
| Treynor Ratio | 0.2777 |
The Emerging March 3, 2026 Technical Indicators
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.1194 | |||
| Market Risk Adjusted Performance | 0.2877 | |||
| Mean Deviation | 0.6771 | |||
| Semi Deviation | 0.9167 | |||
| Downside Deviation | 1.19 | |||
| Coefficient Of Variation | 652.63 | |||
| Standard Deviation | 0.9814 | |||
| Variance | 0.9631 | |||
| Information Ratio | 0.0707 | |||
| Jensen Alpha | 0.1045 | |||
| Total Risk Alpha | 0.0493 | |||
| Sortino Ratio | 0.0581 | |||
| Treynor Ratio | 0.2777 | |||
| Maximum Drawdown | 5.37 | |||
| Value At Risk | (1.11) | |||
| Potential Upside | 1.62 | |||
| Downside Variance | 1.43 | |||
| Semi Variance | 0.8403 | |||
| Expected Short fall | (0.73) | |||
| Skewness | (1.53) | |||
| Kurtosis | 6.55 |
Emerging Markets Backtested Returns
At this stage we consider The Mutual Fund to be very steady. Emerging Markets owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.13, which indicates the fund had a 0.13 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for The Emerging Markets, which you can use to evaluate the volatility of the fund. Please validate The Emerging's Coefficient Of Variation of 652.63, risk adjusted performance of 0.1194, and Semi Deviation of 0.9167 to confirm if the risk estimate we provide is consistent with the expected return of 0.14%. The entity has a beta of 0.51, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, the Emerging's returns are expected to increase less than the market. However, during the bear market, the loss of holding the Emerging is expected to be smaller as well.
Auto-correlation | 0.30 |
Below average predictability
The Emerging Markets has below average predictability. Overlapping area represents the amount of predictability between The Emerging time series from 3rd of December 2025 to 17th of January 2026 and 17th of January 2026 to 3rd of March 2026. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Emerging Markets price movement. The serial correlation of 0.3 indicates that nearly 30.0% of current The Emerging price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.3 | |
| Spearman Rank Test | 0.3 | |
| Residual Average | 0.0 | |
| Price Variance | 0.32 |
The 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.
Emerging Markets Technical Analysis
The output start index for this execution was two with a total number of output elements of fifty-nine. The Normalized Average True Range is used to analyze tradable apportunities for Emerging Markets across different markets.
About The 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 The 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 The Emerging Markets based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Emerging Markets price pattern first instead of the macroeconomic environment surrounding Emerging Markets. By analyzing The 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 The 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 The Emerging specific price patterns or momentum indicators. Please read more on our technical analysis page.
The Emerging March 3, 2026 Technical Indicators
Most technical analysis of The 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 The from various momentum indicators to cycle indicators. When you analyze The 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 | 0.1194 | |||
| Market Risk Adjusted Performance | 0.2877 | |||
| Mean Deviation | 0.6771 | |||
| Semi Deviation | 0.9167 | |||
| Downside Deviation | 1.19 | |||
| Coefficient Of Variation | 652.63 | |||
| Standard Deviation | 0.9814 | |||
| Variance | 0.9631 | |||
| Information Ratio | 0.0707 | |||
| Jensen Alpha | 0.1045 | |||
| Total Risk Alpha | 0.0493 | |||
| Sortino Ratio | 0.0581 | |||
| Treynor Ratio | 0.2777 | |||
| Maximum Drawdown | 5.37 | |||
| Value At Risk | (1.11) | |||
| Potential Upside | 1.62 | |||
| Downside Variance | 1.43 | |||
| Semi Variance | 0.8403 | |||
| Expected Short fall | (0.73) | |||
| Skewness | (1.53) | |||
| Kurtosis | 6.55 |
The Emerging March 3, 2026 Daily Trend Indicators
Traders often use several different daily volumes and price technical indicators to supplement a more traditional technical analysis when analyzing securities such as The stock. With literally thousands of different options, investors must choose the best indicators for them and familiarize themselves with how they work. We suggest combining traditional momentum indicators with more near-term forms of technical analysis such as Accumulation Distribution or Daily Balance Of Power. With their quantitative nature, daily value technical indicators can also be incorporated into your automated trading systems.
| Accumulation Distribution | 0.00 | ||
| Daily Balance Of Power | (Huge) | ||
| Rate Of Daily Change | 0.98 | ||
| Day Median Price | 25.34 | ||
| Day Typical Price | 25.34 | ||
| Price Action Indicator | (0.24) |
Other Information on Investing in The Mutual Fund
The Emerging financial ratios help investors to determine whether The 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 The with respect to the benefits of owning The Emerging security.
| Theme Ratings Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
| Portfolio Center All portfolio management and optimization tools to improve performance of your portfolios | |
| Portfolio Dashboard Portfolio dashboard that provides centralized access to all your investments | |
| Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk |