Short Duration Income Fund Technical Analysis
| WEFIX Fund | USD 12.08 0.00 0.00% |
As of the 30th of January, Short Duration has the Standard Deviation of 0.0831, downside deviation of 0.089, and Risk Adjusted Performance of 0.0662. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Short Duration Income, as well as the relationship between them.
Short Duration Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Short, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to ShortShort |
Short Duration '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 Short Duration'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 Short Duration.
| 11/01/2025 |
| 01/30/2026 |
If you would invest 0.00 in Short Duration on November 1, 2025 and sell it all today you would earn a total of 0.00 from holding Short Duration Income or generate 0.0% return on investment in Short Duration over 90 days. Short Duration is related to or competes with Scharf Balanced, T Rowe, Ab Value, Qs Us, and Rbb Fund. Under normal circumstances, the fund will invest at least 80 percent of its net assets, plus the amount of any borrowing... More
Short Duration 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 Short Duration'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 Short Duration Income upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.089 | |||
| Information Ratio | (0.54) | |||
| Maximum Drawdown | 0.5026 | |||
| Value At Risk | (0.08) | |||
| Potential Upside | 0.0835 |
Short Duration Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Short Duration's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Short Duration's standard deviation. In reality, there are many statistical measures that can use Short Duration historical prices to predict the future Short Duration's volatility.| Risk Adjusted Performance | 0.0662 | |||
| Jensen Alpha | 0.0059 | |||
| Total Risk Alpha | 6.0E-4 | |||
| Sortino Ratio | (0.50) | |||
| Treynor Ratio | 0.656 |
Short Duration January 30, 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 | 0.0662 | |||
| Market Risk Adjusted Performance | 0.666 | |||
| Mean Deviation | 0.0471 | |||
| Downside Deviation | 0.089 | |||
| Coefficient Of Variation | 505.66 | |||
| Standard Deviation | 0.0831 | |||
| Variance | 0.0069 | |||
| Information Ratio | (0.54) | |||
| Jensen Alpha | 0.0059 | |||
| Total Risk Alpha | 6.0E-4 | |||
| Sortino Ratio | (0.50) | |||
| Treynor Ratio | 0.656 | |||
| Maximum Drawdown | 0.5026 | |||
| Value At Risk | (0.08) | |||
| Potential Upside | 0.0835 | |||
| Downside Variance | 0.0079 | |||
| Semi Variance | (0.02) | |||
| Expected Short fall | (0.15) | |||
| Skewness | 2.88 | |||
| Kurtosis | 11.09 |
Short Duration Income Backtested Returns
At this stage we consider Short Mutual Fund to be very steady. Short Duration Income owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.21, which indicates the fund had a 0.21 % return per unit of risk over the last 3 months. We have found twenty-four technical indicators for Short Duration Income, which you can use to evaluate the volatility of the fund. Please validate Short Duration's Risk Adjusted Performance of 0.0662, standard deviation of 0.0831, and Downside Deviation of 0.089 to confirm if the risk estimate we provide is consistent with the expected return of 0.0139%. The entity has a beta of 0.0098, which indicates not very significant fluctuations relative to the market. As returns on the market increase, Short Duration's returns are expected to increase less than the market. However, during the bear market, the loss of holding Short Duration is expected to be smaller as well.
Auto-correlation | 0.59 |
Modest predictability
Short Duration Income has modest predictability. Overlapping area represents the amount of predictability between Short Duration time series from 1st of November 2025 to 16th of December 2025 and 16th of December 2025 to 30th 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 Short Duration Income price movement. The serial correlation of 0.59 indicates that roughly 59.0% of current Short Duration price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.59 | |
| Spearman Rank Test | 0.72 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Short Duration 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.
Short Duration Income Technical Analysis
Indicator |
The output start index for this execution was one with a total number of output elements of sixty. The True Range is a measure of Short Duration Income volatility developed by Welles Wilder.
About Short Duration 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 Short Duration 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 Short Duration Income based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Short Duration Income price pattern first instead of the macroeconomic environment surrounding Short Duration Income. By analyzing Short Duration'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 Short Duration'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 Short Duration specific price patterns or momentum indicators. Please read more on our technical analysis page.
Short Duration January 30, 2026 Technical Indicators
Most technical analysis of Short 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 Short from various momentum indicators to cycle indicators. When you analyze Short 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 | 0.0662 | |||
| Market Risk Adjusted Performance | 0.666 | |||
| Mean Deviation | 0.0471 | |||
| Downside Deviation | 0.089 | |||
| Coefficient Of Variation | 505.66 | |||
| Standard Deviation | 0.0831 | |||
| Variance | 0.0069 | |||
| Information Ratio | (0.54) | |||
| Jensen Alpha | 0.0059 | |||
| Total Risk Alpha | 6.0E-4 | |||
| Sortino Ratio | (0.50) | |||
| Treynor Ratio | 0.656 | |||
| Maximum Drawdown | 0.5026 | |||
| Value At Risk | (0.08) | |||
| Potential Upside | 0.0835 | |||
| Downside Variance | 0.0079 | |||
| Semi Variance | (0.02) | |||
| Expected Short fall | (0.15) | |||
| Skewness | 2.88 | |||
| Kurtosis | 11.09 |
Short Duration January 30, 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 Short 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 | 0.00 | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 12.08 | ||
| Day Typical Price | 12.08 | ||
| Price Action Indicator | 0.00 |
Other Information on Investing in Short Mutual Fund
Short Duration financial ratios help investors to determine whether Short 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 Short with respect to the benefits of owning Short Duration security.
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