Doubleline Floating Rate Fund Technical Analysis
| DLFRX Fund | USD 8.89 0.01 0.11% |
As of the 25th of March, DOUBLELINE FLOATING prints 8.89 per share on the tape. Available indicator data includes Coefficient Of Variation of -1,908, information ratio of 0.3647, and Variance of 0.0164. Market dynamics are evaluated through structured indicator analysis. Indicator dispersion is evaluated across similar market participants.
DOUBLELINE FLOATING 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
Historical what-if analysis for Doubleline Floating Rate is useful because it converts abstract timing questions into a structured review of past performance under changing entry and holding periods. 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.
| 12/25/2025 |
| 03/25/2026 |
A 0.00 entry into DOUBLELINE FLOATING on December 25, 2025 held to the present would generate 0.00 in net gains. The outcome is a 0.0% total return in DOUBLELINE FLOATING in total over the 90 day interval. Figures are sourced from market data feeds and exchange records. Peers such as AMG TIMESSQUARE, AB CONCENTRATED, PRECIOUS METALS, Advisors Capital, Morgan Stanley, Western Asset, and AMERICAN BEACON operate in a similar space as DOUBLELINE FLOATING. The fund normally will invest at least 80 percent of its net assets in floating rate loans and other floating rate inves... More
Momentum Range Indicators for DOUBLELINE FLOATING Overview
The upside and downside context for DOUBLELINE FLOATING captures how the fund price has moved within recent ranges. These signals organize short-term price behavior into a structured momentum view.
| Information Ratio | 0.3647 | |||
| Maximum Drawdown | 1.0 | |||
| Value At Risk | -0.11 | |||
| Potential Upside | 0.1119 |
DOUBLELINE FLOATING Market Risk Indicators Summary
Risk measures here provide context on DOUBLELINE FLOATING's return distribution and drawdown behavior. The signals are informational and describe volatility patterns.The mean reversion effect in DOUBLELINE FLOATING is stronger when the initial deviation was driven by sentiment rather than fundamentals. Such deviations have sometimes corrected when the initial catalyst fades, though timing remains uncertain. The degree to which DOUBLELINE FLOATING's exhibits mean reversion depends on how efficiently the market prices new information. Short-term deviations can persist and even widen before correcting, making position sizing critical.
Technical Indicators
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| Risk Adjusted Performance | -0.1 | |||
| Mean Deviation | 0.0554 | |||
| Coefficient Of Variation | -1,908 | |||
| Standard Deviation | 0.1282 | |||
| Variance | 0.0164 | |||
| Information Ratio | 0.3647 | |||
| Total Risk Alpha | -0.01 | |||
| Maximum Drawdown | 1.0 | |||
| Value At Risk | -0.11 | |||
| Potential Upside | 0.1119 | |||
| Skewness | -5.15 | |||
| Kurtosis | 35.57 |
Doubleline Floating Rate Backtested Returns
DOUBLELINE FLOATING holds a very low volatility profile within the selected horizon. It maintains a Sharpe Ratio (Efficiency) of -0.0875, representing negative adjusted performance consistency. We identified eighteen technical indicators influencing the company's volatility profile. Please examine metrics such as Coefficient Of Variation of -1,908, information ratio of 0.3647, and Variance of 0.0164 to confirm risk-return consistency. The fund secures a Beta (Systematic Risk) of 0.0, which attests to very low measured sensitivity to broad market movements. The returns on MARKET and DOUBLELINE FLOATING are completely uncorrelated.
Auto-correlation | 0.31 |
Below average predictability
The autocorrelation profile for Doubleline Floating Rate registers below average predictability between the two measured intervals. When lagged price patterns show consistency, they can serve as a partial input for modeling Doubleline Floating Rate's near-term price behavior. A serial correlation of 0.31 indicates that nearly 31.0% of current DOUBLELINE FLOATING price fluctuations can be explained by its historical price movements.
| Correlation Coefficient | 0.31 | |
| Spearman Rank Test | -0.23 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
This technical view for DOUBLELINE FLOATING centers on price movement and volume signals. The dataset reflects available inputs without directional implication.
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 Doubleline Floating Rate volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Technical Analysis Methodology & Indicators
Technical analysis of DOUBLELINE FLOATING focuses on NAV trend behavior and volatility patterns where pricing frequency permits. Momentum regimes can shift quickly when liquidity conditions change.
The analytics block for Doubleline Floating Rate relies on fund disclosures and market reference feeds, with quality checks and normalization applied before rendering. Timing can vary by data vendor.
This content is curated and reviewed by:
Gabriel Shpitalnik - Member of Macroaxis Editorial BoardDOUBLELINE FLOATING Technical Indicators
Technical indicators tied to Doubleline Floating Rate help investors translate chart behavior into a more structured framework for entry, exit, and risk control. Used correctly, technical indicators support timing and risk control but should still be validated against broader market and business context.
| Cycle Indicators | ||
| Math Operators | ||
| Math Transform | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
| Risk Adjusted Performance | -0.1 | |||
| Mean Deviation | 0.0554 | |||
| Coefficient Of Variation | -1,908 | |||
| Standard Deviation | 0.1282 | |||
| Variance | 0.0164 | |||
| Information Ratio | 0.3647 | |||
| Total Risk Alpha | -0.01 | |||
| Maximum Drawdown | 1.0 | |||
| Value At Risk | -0.11 | |||
| Potential Upside | 0.1119 | |||
| Skewness | -5.15 | |||
| Kurtosis | 35.57 |
March 25, 2026 Daily Trend Indicators
Technical indicators tied to Doubleline Floating Rate help investors translate chart behavior into a more structured framework for entry, exit, and risk control. Used correctly, technical indicators support timing and risk control but should still be validated against broader market and business context.
| Accumulation Distribution | 0.00 | ||
| Daily Balance Of Power | 0.00 | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 8.89 | ||
| Day Typical Price | 8.89 | ||
| Price Action Indicator | 0.00 |