Emerging Markets Targeted Fund Technical Analysis
| DEMGX Fund | USD 13.60 -0.05 -0.37% |
Market data as of the 10th of March shows Emerging Markets priced at 13.60 per share. Measured indicators report Mean Deviation of 0.6488, coefficient of variation of 907.76, and Downside Deviation of 1.2. The model examines historical data series to identify measurable trend characteristics. Technical levels are measured against peer distributions.
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 'What if' Analysis
Running a what-if backtest on Emerging Markets Targeted gives investors a practical way to test how changes in horizon, position size, or market timing might have affected the result. Used properly, this review helps investors decide whether Emerging Markets' historical reward profile was stable enough to support the current thesis.
| 12/10/2025 |
| 03/10/2026 |
If you invested 0.00 in Emerging Markets on December 10, 2025 and closed the position today, you would earn 0.00 in cumulative gains. Overall, this is a 0.0% return on investment in Emerging Markets in aggregate over 90 days.. Emerging Markets is related to or competes with California Bond, Templeton Global, Blrc Sgy, Western Asset, Intermediate-term, and Ab Bond. The comparison helps frame competitive context. The portfolio will seek to achieve its investment objective through exposure to a broad and diverse portfolio of securit... More
Emerging Markets Upside and Downside Indicators Summary
Upside and downside indicators for Emerging Markets summarize momentum balance and potential range context for the fund. This view helps summarize momentum conditions without implying direction.
| Downside Deviation | 1.2 | |||
| Information Ratio | 0.0977 | |||
| Maximum Drawdown | 5.45 | |||
| Value At Risk | -1.35 | |||
| Potential Upside | 1.24 |
Emerging Markets Market Risk Indicators Summary
Market risk indicators summarize volatility and return dispersion for Emerging Markets. The measures summarize variability without implying direction.| Risk Adjusted Performance | 0.0872 | |||
| Jensen Alpha | 0.0908 | |||
| Total Risk Alpha | 0.0893 | |||
| Sortino Ratio | 0.0744 | |||
| Treynor Ratio | 0.4983 |
Mean reversion in Emerging Markets' price occurs when temporary dislocations - caused by sentiment extremes, news events, or liquidity shocks - correct back toward the stock's historical fair value.
Emerging Markets 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 | 0.0872 | |||
| Market Risk Adjusted Performance | 0.5083 | |||
| Mean Deviation | 0.6488 | |||
| Semi Deviation | 0.9849 | |||
| Downside Deviation | 1.2 | |||
| Coefficient Of Variation | 907.76 | |||
| Standard Deviation | 0.9172 | |||
| Variance | 0.8413 | |||
| Information Ratio | 0.0977 | |||
| Jensen Alpha | 0.0908 | |||
| Total Risk Alpha | 0.0893 | |||
| Sortino Ratio | 0.0744 | |||
| Treynor Ratio | 0.4983 | |||
| Maximum Drawdown | 5.45 | |||
| Value At Risk | -1.35 | |||
| Potential Upside | 1.24 | |||
| Downside Variance | 1.45 | |||
| Semi Variance | 0.9701 | |||
| Expected Short fall | -0.66 | |||
| Skewness | -1.49 | |||
| Kurtosis | 4.81 |
Emerging Markets Targeted Backtested Returns
Emerging Markets currently shows a very low volatility profile across the evaluation window. It has a Sharpe Ratio of 0.11, which indicates that 0.11 units of return per unit of risk over the last 3 months. We identified twenty-seven technical indicators supporting this volatility profile. Please assess metrics such as Downside Deviation of 1.2, mean deviation of 0.6488, and Coefficient Of Variation of 907.76 to validate implied volatility levels. The fund shows a Beta (market volatility) of 0.18, which alludes to not very significant fluctuations relative to the market. As returns on the market increase, Emerging Markets' returns are expected to increase less than the market. However, during the bear market, the loss of holding Emerging Markets is expected to be smaller as well.
Auto-correlation | -0.05 |
Very weak reverse predictability
Emerging Markets Targeted exhibits very weak reverse predictability. Autocorrelation measures the degree of predictability between Emerging Markets time series from 10th of December 2025 to 24th of January 2026 and from 24th of January 2026 to 10th of March 2026. The stronger the relationship between the current interval and its lagged values, the more accurately future price behavior of Emerging Markets Targeted may be projected. A serial correlation of -0.05 indicates that only as little as 5.0% of current Emerging Markets price fluctuations can be explained by its historical price movements. Given that Emerging Markets Targeted has negative autocorrelation for the selected time horizon, market participants may evaluate potential contrarian price behavior over comparable future intervals.
| Correlation Coefficient | -0.05 | |
| Spearman Rank Test | 0.08 | |
| Residual Average | 0.0 | |
| Price Variance | 0.11 |
Emerging Markets technical mutual fund analysis uses price and volume transformations to study behavior. The view references moving averages, RSI, regressions, and chart pattern signals.
Emerging Markets Targeted Technical Analysis
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. The Normalized Average True Range is used to analyze tradable apportunities for Emerging Markets Targeted across different markets.
Emerging Markets Technical Analysis Overview
Technical analysis of Emerging Markets focuses on NAV trend behavior and volatility patterns where pricing frequency permits. Support and resistance levels frame risk boundaries for observed price regimes. Emerging Markets is assessed relative to its contribution to long-term portfolio efficiency and allocation discipline.
Methodology
Unless otherwise specified, data for Emerging Markets Targeted is derived from fund disclosures (prospectus language, holdings reports, and periodic statements where available). Asset-level metrics are computed daily by Macroaxis LLC and refreshed regularly based on instrument type. Emerging (USA Stocks:DEMGX) market data and reported NAV may reflect delayed updates. Data may be delayed depending on reporting sources and market conventions Technical and fundamental diagnostic scores are rule-based values computed from historical price and fundamental inputs.
Assumptions
We primarily rely on public fund disclosures, holdings reports, and market data feeds, including disclosures published by U.S. Securities and Exchange Commission (SEC) via EDGAR. Data is normalized for analytical consistency across reporting formats. All analytics are generated using standardized, rules-based models designed to promote consistency and comparability across instruments. Model assumptions, reference parameters, and selected computational inputs are available in the Model Inputs section. If you have questions about our data sources or methodology, please contact Macroaxis Support.Research Sources
Emerging Markets Targeted may have reference inputs that incorporate holdings disclosures, category classification, and NAV-derived statistics where available. Updates may occur throughout the day.
Emerging Markets Technical Indicators
A technical review of Emerging Markets Targeted can improve timing discipline by comparing momentum, reversal risk, and confirmation signals across several time horizons. The stronger process confirms one signal with others instead of reacting to one pattern in isolation.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.0872 | |||
| Market Risk Adjusted Performance | 0.5083 | |||
| Mean Deviation | 0.6488 | |||
| Semi Deviation | 0.9849 | |||
| Downside Deviation | 1.2 | |||
| Coefficient Of Variation | 907.76 | |||
| Standard Deviation | 0.9172 | |||
| Variance | 0.8413 | |||
| Information Ratio | 0.0977 | |||
| Jensen Alpha | 0.0908 | |||
| Total Risk Alpha | 0.0893 | |||
| Sortino Ratio | 0.0744 | |||
| Treynor Ratio | 0.4983 | |||
| Maximum Drawdown | 5.45 | |||
| Value At Risk | -1.35 | |||
| Potential Upside | 1.24 | |||
| Downside Variance | 1.45 | |||
| Semi Variance | 0.9701 | |||
| Expected Short fall | -0.66 | |||
| Skewness | -1.49 | |||
| Kurtosis | 4.81 |
Emerging Markets March 10, 2026 Daily Trend Indicators
A technical review of Emerging Markets Targeted can improve timing discipline by comparing momentum, reversal risk, and confirmation signals across several time horizons. The stronger process confirms one signal with others instead of reacting to one pattern in isolation.
| Accumulation Distribution | 0.00 | ||
| Daily Balance Of Power | -Huge | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 13.60 | ||
| Day Typical Price | 13.60 | ||
| Price Action Indicator | -0.03 |
Additional Resources for Emerging Mutual Fund Analysis
Other Information on Investing in Emerging Mutual Fund
Emerging Markets financial ratios help frame valuation context across profits, cash flow, and enterprise value. They help compare Emerging across measures in a consistent way.
| Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
| Idea Optimizer Use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio |