Doubleline Infrastructure Income Fund Technical Analysis
| BILTX Fund | USD 9.57 0.01 0.10% |
As of the 24th of January, Doubleline Infrastructure shows the Coefficient Of Variation of 4715.56, downside deviation of 0.1994, and Mean Deviation of 0.1184. Doubleline Infrastructure technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the entity's future prices.
Doubleline Infrastructure 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 |
Doubleline Infrastructure '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 Doubleline Infrastructure'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 Doubleline Infrastructure.
| 10/26/2025 |
| 01/24/2026 |
If you would invest 0.00 in Doubleline Infrastructure on October 26, 2025 and sell it all today you would earn a total of 0.00 from holding Doubleline Infrastructure Income or generate 0.0% return on investment in Doubleline Infrastructure over 90 days. Doubleline Infrastructure is related to or competes with Putnam Premier, GAMCO Natural, John Hancock, New Enant, DWS Municipal, Western Asset, and Ubs Us. Under normal circumstances, the advisor intends to invest at least 50 percent of its net assets in Infrastructure Invest... More
Doubleline Infrastructure 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 Doubleline Infrastructure'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 Doubleline Infrastructure Income upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.1994 | |||
| Information Ratio | (0.48) | |||
| Maximum Drawdown | 0.6306 | |||
| Value At Risk | (0.31) | |||
| Potential Upside | 0.2107 |
Doubleline Infrastructure Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Doubleline Infrastructure's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Doubleline Infrastructure's standard deviation. In reality, there are many statistical measures that can use Doubleline Infrastructure historical prices to predict the future Doubleline Infrastructure's volatility.| Risk Adjusted Performance | (0.02) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.38) | |||
| Treynor Ratio | (0.13) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Doubleline Infrastructure's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
Doubleline Infrastructure January 24, 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 | (0.02) | |||
| Market Risk Adjusted Performance | (0.12) | |||
| Mean Deviation | 0.1184 | |||
| Semi Deviation | 0.1343 | |||
| Downside Deviation | 0.1994 | |||
| Coefficient Of Variation | 4715.56 | |||
| Standard Deviation | 0.1551 | |||
| Variance | 0.024 | |||
| Information Ratio | (0.48) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.38) | |||
| Treynor Ratio | (0.13) | |||
| Maximum Drawdown | 0.6306 | |||
| Value At Risk | (0.31) | |||
| Potential Upside | 0.2107 | |||
| Downside Variance | 0.0398 | |||
| Semi Variance | 0.018 | |||
| Expected Short fall | (0.15) | |||
| Skewness | (0.37) | |||
| Kurtosis | 0.0586 |
Doubleline Infrastructure Backtested Returns
At this stage we consider Doubleline Mutual Fund to be very steady. Doubleline Infrastructure secures Sharpe Ratio (or Efficiency) of 0.0115, which denotes the fund had a 0.0115 % return per unit of risk over the last 3 months. We have found twenty-seven technical indicators for Doubleline Infrastructure Income, which you can use to evaluate the volatility of the entity. Please confirm Doubleline Infrastructure's Coefficient Of Variation of 4715.56, downside deviation of 0.1994, and Mean Deviation of 0.1184 to check if the risk estimate we provide is consistent with the expected return of 0.0018%. The fund shows a Beta (market volatility) of 0.051, which means not very significant fluctuations relative to the market. As returns on the market increase, Doubleline Infrastructure's returns are expected to increase less than the market. However, during the bear market, the loss of holding Doubleline Infrastructure is expected to be smaller as well.
Auto-correlation | 0.21 |
Weak predictability
Doubleline Infrastructure Income has weak predictability. Overlapping area represents the amount of predictability between Doubleline Infrastructure time series from 26th of October 2025 to 10th of December 2025 and 10th of December 2025 to 24th of January 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 Doubleline Infrastructure price movement. The serial correlation of 0.21 indicates that over 21.0% of current Doubleline Infrastructure price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.21 | |
| Spearman Rank Test | 0.24 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Doubleline Infrastructure 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.
Doubleline Infrastructure Technical Analysis
The output start index for this execution was thirty-six with a total number of output elements of twenty-five. 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 Infrastructure volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Doubleline Infrastructure 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 Doubleline Infrastructure Income 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 Doubleline Infrastructure Income based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Doubleline Infrastructure price pattern first instead of the macroeconomic environment surrounding Doubleline Infrastructure. By analyzing Doubleline Infrastructure'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 Doubleline Infrastructure'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 Doubleline Infrastructure specific price patterns or momentum indicators. Please read more on our technical analysis page.
Doubleline Infrastructure January 24, 2026 Technical Indicators
Most technical analysis of Doubleline 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 Doubleline from various momentum indicators to cycle indicators. When you analyze Doubleline 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 | (0.02) | |||
| Market Risk Adjusted Performance | (0.12) | |||
| Mean Deviation | 0.1184 | |||
| Semi Deviation | 0.1343 | |||
| Downside Deviation | 0.1994 | |||
| Coefficient Of Variation | 4715.56 | |||
| Standard Deviation | 0.1551 | |||
| Variance | 0.024 | |||
| Information Ratio | (0.48) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.38) | |||
| Treynor Ratio | (0.13) | |||
| Maximum Drawdown | 0.6306 | |||
| Value At Risk | (0.31) | |||
| Potential Upside | 0.2107 | |||
| Downside Variance | 0.0398 | |||
| Semi Variance | 0.018 | |||
| Expected Short fall | (0.15) | |||
| Skewness | (0.37) | |||
| Kurtosis | 0.0586 |
Doubleline Infrastructure January 24, 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 Doubleline 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 | 1.00 | ||
| Day Median Price | 9.57 | ||
| Day Typical Price | 9.57 | ||
| Price Action Indicator | 0.00 |
Other Information on Investing in Doubleline Mutual Fund
Doubleline Infrastructure financial ratios help investors to determine whether Doubleline 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 Doubleline with respect to the benefits of owning Doubleline Infrastructure security.
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