Emerging Markets Sustainability Fund Technical Analysis
| DESIX Fund | USD 13.82 -0.04 -0.29% |
As of the 7th of May, shares of Emerging Markets change hands at 13.82 per share. Momentum and volatility readings indicate Coefficient Of Variation of 935.14, downside deviation of 1.52, and Mean Deviation of 0.9627. The system measures statistical relationships between price fluctuations and trading activity. Indicator values are assessed relative to historical performance bands.
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 Markets, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to Emerging MarketsEmerging Markets |
What-If Analysis
Running a what-if backtest on Emerging Markets Sustainability provides a practical way to test how changes in horizon, position size, or market timing might have affected the result. Comparing realized return, risk, and path dependency instead of focusing only on the best historical outcome gives a more complete picture.
| 02/06/2026 |
| 05/07/2026 |
If you invested 0.00 in Emerging Markets on February 6, 2026 and closed the position today, you would earn 0.00 in cumulative return. This reflects a 0.0% cumulative return in Emerging Markets on balance across 90 days. Emerging Markets shares sector or business overlap with Acadian Emerging, Acadian Emerging, Dfa International, HENNESSY CORNERSTONE, GOTHAM INDEX, MAINSTAY EPOCH, and MID CAP. Under normal circumstances, the Portfolio will invest at least 80 percent of its net assets in emerging markets equity i... More
Upside and Downside Indicators for Emerging Markets Signals
The upside and downside context for Emerging Markets captures how the fund price has moved within recent ranges. The ratio of upside to downside range captures the prevailing momentum bias.
| Downside Deviation | 1.52 | |||
| Information Ratio | 0.0926 | |||
| Maximum Drawdown | 6.78 | |||
| Value At Risk | -2.39 | |||
| Potential Upside | 1.86 |
Emerging Markets Volatility and Risk Indicators Snapshot
Risk measures here provide context on Emerging Markets' return distribution and drawdown behavior. Maximum drawdown and recovery time capture the worst-case loss profile and how quickly the price rebounds.| Risk Adjusted Performance | 0.1061 | |||
| Jensen Alpha | 0.1292 | |||
| Total Risk Alpha | 0.1242 | |||
| Sortino Ratio | 0.0846 | |||
| Treynor Ratio | 0.148 |
The mean reversion principle applied to Emerging Markets' suggests that neither prolonged outperformance nor underperformance is permanent. Identifying the root cause of Emerging Markets' price dislocation is essential before acting on a mean reversion signal. The mean reversion tendency in Emerging Markets' price is a well-documented phenomenon in academic research. In many cases, Emerging Markets' price extremes present statistical patterns that have recurred historically.
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 | 0.1061 | |||
| Market Risk Adjusted Performance | 0.158 | |||
| Mean Deviation | 0.9627 | |||
| Semi Deviation | 1.21 | |||
| Downside Deviation | 1.52 | |||
| Coefficient Of Variation | 935.14 | |||
| Standard Deviation | 1.39 | |||
| Variance | 1.93 | |||
| Information Ratio | 0.0926 | |||
| Jensen Alpha | 0.1292 | |||
| Total Risk Alpha | 0.1242 | |||
| Sortino Ratio | 0.0846 | |||
| Treynor Ratio | 0.148 | |||
| Maximum Drawdown | 6.78 | |||
| Value At Risk | -2.39 | |||
| Potential Upside | 1.86 | |||
| Downside Variance | 2.31 | |||
| Semi Variance | 1.46 | |||
| Expected Short fall | -1.00 | |||
| Skewness | 0.0348 | |||
| Kurtosis | 4.05 |
Emerging Markets Backtested Returns
Emerging Markets presents a very low volatility profile within the defined horizon. 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 review metrics such as Coefficient Of Variation of 935.14, downside deviation of 1.52, and mean deviation of 0.9627 to review dispersion measures. The fund maintains a beta of 0.94, which conveys generally lower market sensitivity than the broad market. Emerging Markets tracks the broader market closely, rising and falling roughly in step with the benchmark.
Auto-correlation | -0.72 |
Almost perfect reverse predictability
Emerging Markets Sustainability shows almost perfect reverse predictability when comparing price series from 6th of February 2026 to 23rd of March 2026 against from 23rd of March 2026 to 7th of May 2026. A strong serial relationship would imply that Emerging Markets's recent trajectory contains information about its near-term direction. With a serial correlation of -0.72, around 72.0% of Emerging Markets's price variation is attributable to patterns in preceding intervals. Given that Emerging Markets Sustainability has negative autocorrelation for the selected time horizon, market participants may evaluate potential contrarian price behavior over comparable future intervals.
| Correlation Coefficient | -0.72 | |
| Spearman Rank Test | -0.71 | |
| Residual Average | 0.0 | |
| Price Variance | 0.37 |
This technical analysis module for Emerging Markets is structured around price and volume data. The approach includes tools such as moving averages and relative strength indicators.
Technical Analysis
This analysis covers thirty-seven data points across the selected time horizon. 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 volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Technical Analysis Methodology & Indicators
Technical analysis of Emerging Markets focuses on NAV trend behavior and volatility patterns where pricing frequency permits. Volatility compression can precede expansion in dispersion regimes.
Emerging Markets Sustainability data is compiled from fund disclosures and market reference feeds and standardized for comparability.
Editorial review and methodology oversight provided by: Michael Smolkin, Member of Macroaxis Board of Directors
Technical Indicators
Investors following Emerging Markets Sustainability often rely on technical indicators to test whether price action is supporting continuation, exhaustion, or a possible change in direction. Confirming one signal with others instead of reacting to one pattern in isolation improves the quality of the conclusion.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | 0.1061 | |||
| Market Risk Adjusted Performance | 0.158 | |||
| Mean Deviation | 0.9627 | |||
| Semi Deviation | 1.21 | |||
| Downside Deviation | 1.52 | |||
| Coefficient Of Variation | 935.14 | |||
| Standard Deviation | 1.39 | |||
| Variance | 1.93 | |||
| Information Ratio | 0.0926 | |||
| Jensen Alpha | 0.1292 | |||
| Total Risk Alpha | 0.1242 | |||
| Sortino Ratio | 0.0846 | |||
| Treynor Ratio | 0.148 | |||
| Maximum Drawdown | 6.78 | |||
| Value At Risk | -2.39 | |||
| Potential Upside | 1.86 | |||
| Downside Variance | 2.31 | |||
| Semi Variance | 1.46 | |||
| Expected Short fall | -1.00 | |||
| Skewness | 0.0348 | |||
| Kurtosis | 4.05 |
May 7, 2026 Daily Trend Indicators
Investors following Emerging Markets Sustainability often rely on technical indicators to test whether price action is supporting continuation, exhaustion, or a possible change in direction. Confirming one signal with others instead of reacting to one pattern in isolation improves the quality of the conclusion.
| Accumulation Distribution | 0.00 | ||
| Daily Balance Of Power | 0.00 | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 13.82 | ||
| Day Typical Price | 13.82 | ||
| Price Action Indicator | -0.02 |