Doubleline Emerging Markets Fund Technical Analysis
| DLELX Fund | USD 9.46 0.04 0.42% |
As of the 26th of March, DoubleLine Emerging is valued at 9.46 per share. Indicator levels currently stand at Standard Deviation of 0.5797, mean deviation of 0.4092, and Variance of 0.336. Historical price dispersion and volume trends are incorporated into the evaluation. Values are analyzed in relation to historical volatility thresholds.
DoubleLine 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 DoubleLine, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to DoubleLineDoubleLine |
What if' Analysis
Running a what-if backtest on Doubleline Emerging Markets gives investors a practical way to test how changes in horizon, position size, or market timing might have affected the result. Valuation should still be reviewed through market value, enterprise value, revenue scale, and balance-sheet quality. The point is not to predict the future from one chart, but to understand how sensitive the trade has been to timing and holding assumptions.
| 12/26/2025 |
| 03/26/2026 |
Had you placed 0.00 in DoubleLine Emerging on December 26, 2025 and held until today, you would produce 0.00 in aggregate gains. That works out to a 0.0% cumulative return in DoubleLine Emerging in aggregate over a 90 day period. Price and volume history from exchange records underpins the dataset. Comparable fund peers for DoubleLine Emerging include American Beacon, THE MISSOURI, PARAMETRIC EMERGING, Credit Suisse, SUMMIT GLOBAL, Fidelity Founders, and MATTHEWS ASIA. The advisor intends to invest principally in bonds of issuers in emerging market countries denominated in local currenci... More
DoubleLine Emerging Upside and Downside Indicators Dashboard
The momentum profile for DoubleLine Emerging describes how price movement distributes across upside and downside channels. This context describes price behavior relative to short-term momentum benchmarks.
| Information Ratio | 0.0731 | |||
| Maximum Drawdown | 2.74 | |||
| Value At Risk | -1.16 | |||
| Potential Upside | 0.8502 |
Market Risk Indicators for DoubleLine Emerging Dashboard
Volatility and risk indicators for DoubleLine Emerging describe how returns have dispersed over time. This information is provided for contextual purposes.| Risk Adjusted Performance | -0.01 | |||
| Jensen Alpha | 0.0069 | |||
| Total Risk Alpha | 0.026 | |||
| Treynor Ratio | -0.04 |
Statistical evidence for mean reversion in DoubleLine Emerging's can be observed through its tendency to revert after extreme valuations. Investors who believe in mean reversion view DoubleLine Emerging's price extremes as temporary dislocations that may self-correct. Valuation-driven investors use mean reversion to time DoubleLine Emerging's investments around historical valuation multiples. Historical data for DoubleLine Emerging shows that extreme valuations have tended to normalize over multi-year periods.
Technical Indicators
| Cycle Indicators | ||
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| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | -0.01 | |||
| Market Risk Adjusted Performance | -0.03 | |||
| Mean Deviation | 0.4092 | |||
| Coefficient Of Variation | -18,477 | |||
| Standard Deviation | 0.5797 | |||
| Variance | 0.336 | |||
| Information Ratio | 0.0731 | |||
| Jensen Alpha | 0.0069 | |||
| Total Risk Alpha | 0.026 | |||
| Treynor Ratio | -0.04 | |||
| Maximum Drawdown | 2.74 | |||
| Value At Risk | -1.16 | |||
| Potential Upside | 0.8502 | |||
| Skewness | -0.80 | |||
| Kurtosis | 1.25 |
Doubleline Emerging Backtested Returns
DoubleLine Emerging demonstrates a very low volatility profile under current market conditions. It shows an Efficiency (Sharpe) Ratio of -0.02, quantifying negative return efficiency across 3 months. Signal processing identified twenty-one dispersion-based indicators. Please assess metrics such as standard deviation of 0.5797, mean deviation of 0.4092, and Variance of 0.336 to confirm statistical stability. The fund holds a Beta (Market Risk) of 0.36, which attests to generally lower market sensitivity than the broad market. As returns on the market increase, DoubleLine Emerging's returns are expected to increase less than the market. However, during a bear market, the loss from holding DoubleLine Emerging is expected to be smaller as well.
Auto-correlation | -0.87 |
Excellent reverse predictability
Serial correlation analysis for Doubleline Emerging Markets reveals excellent reverse predictability across the intervals from 26th of December 2025 to 9th of February 2026 and from 9th of February 2026 to 26th of March 2026. The degree of alignment between past and current intervals shapes expectations about Doubleline Emerging's price persistence. At -0.87, approximately 87.0% of current DoubleLine Emerging price movement aligns with historical price trajectory. Given that Doubleline Emerging Markets has negative autocorrelation for the selected time horizon, market participants may evaluate potential contrarian price behavior over comparable future intervals.
| Correlation Coefficient | -0.87 | |
| Spearman Rank Test | -0.82 | |
| Residual Average | 0.0 | |
| Price Variance | 0.04 |
DoubleLine Emerging technical mutual fund analysis focuses on price and volume behavior. The information reflects available market data inputs.
Technical Analysis
This analysis covers forty-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 Doubleline Emerging volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Technical Analysis Methodology & Indicators
Technical analysis of DoubleLine Emerging focuses on NAV trend behavior and volatility patterns where pricing frequency permits. Range expansion increases sensitivity to execution and spread conditions.
Inputs for Doubleline Emerging Markets come from fund disclosures and market reference feeds and are mapped into a consistent reporting framework. Some fields can appear with publication lag.
This content is curated and reviewed by:
Gabriel Shpitalnik - Member of Macroaxis Editorial BoardDoubleLine Emerging Technical Indicators
Investors following Doubleline Emerging Markets often rely on technical indicators to test whether price action is supporting continuation, exhaustion, or a possible change in direction. 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 | -0.01 | |||
| Market Risk Adjusted Performance | -0.03 | |||
| Mean Deviation | 0.4092 | |||
| Coefficient Of Variation | -18,477 | |||
| Standard Deviation | 0.5797 | |||
| Variance | 0.336 | |||
| Information Ratio | 0.0731 | |||
| Jensen Alpha | 0.0069 | |||
| Total Risk Alpha | 0.026 | |||
| Treynor Ratio | -0.04 | |||
| Maximum Drawdown | 2.74 | |||
| Value At Risk | -1.16 | |||
| Potential Upside | 0.8502 | |||
| Skewness | -0.80 | |||
| Kurtosis | 1.25 |
March 26, 2026 Daily Trend Indicators
Investors following Doubleline Emerging Markets often rely on technical indicators to test whether price action is supporting continuation, exhaustion, or a possible change in direction. The stronger process confirms one signal with others instead of reacting to one pattern in isolation.
| Accumulation Distribution | 0.00 | ||
| Daily Balance Of Power | 0.00 | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 9.46 | ||
| Day Typical Price | 9.46 | ||
| Price Action Indicator | 0.02 |