Short Term Income Fund Technical Analysis
| STCCX Fund | USD 12.19 0.01 0.08% |
As of the 6th of February, Short Term has the Downside Deviation of 0.0862, risk adjusted performance of 0.0502, and Standard Deviation of 0.0703. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Short Term Income, as well as the relationship between them.
Short Term 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 Term '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 Term'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 Term.
| 11/08/2025 |
| 02/06/2026 |
If you would invest 0.00 in Short Term on November 8, 2025 and sell it all today you would earn a total of 0.00 from holding Short Term Income Fund or generate 0.0% return on investment in Short Term over 90 days. Short Term is related to or competes with Guggenheim Large, Harbor Large, Guidemark Large, Aqr Large, Morningstar Unconstrained, and Old Westbury. The fund invests primarily in high quality short-term bonds and other fixed-income securities that, at the time of purch... More
Short Term 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 Term'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 Term Income Fund upside and downside potential and time the market with a certain degree of confidence.
| Downside Deviation | 0.0862 | |||
| Information Ratio | (0.45) | |||
| Maximum Drawdown | 0.2485 | |||
| Value At Risk | (0.08) | |||
| Potential Upside | 0.1653 |
Short Term Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Short Term's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Short Term's standard deviation. In reality, there are many statistical measures that can use Short Term historical prices to predict the future Short Term's volatility.| Risk Adjusted Performance | 0.0502 | |||
| Jensen Alpha | 0.0038 | |||
| Total Risk Alpha | 5.0E-4 | |||
| Sortino Ratio | (0.36) | |||
| Treynor Ratio | (2.35) |
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Short Term'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.
Short Term February 6, 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 | 0.0502 | |||
| Market Risk Adjusted Performance | (2.34) | |||
| Mean Deviation | 0.0505 | |||
| Downside Deviation | 0.0862 | |||
| Coefficient Of Variation | 511.04 | |||
| Standard Deviation | 0.0703 | |||
| Variance | 0.0049 | |||
| Information Ratio | (0.45) | |||
| Jensen Alpha | 0.0038 | |||
| Total Risk Alpha | 5.0E-4 | |||
| Sortino Ratio | (0.36) | |||
| Treynor Ratio | (2.35) | |||
| Maximum Drawdown | 0.2485 | |||
| Value At Risk | (0.08) | |||
| Potential Upside | 0.1653 | |||
| Downside Variance | 0.0074 | |||
| Semi Variance | (0.01) | |||
| Expected Short fall | (0.11) | |||
| Skewness | 0.8988 | |||
| Kurtosis | 1.25 |
Short Term Income Backtested Returns
At this stage we consider Short Mutual Fund to be very steady. Short Term Income owns Efficiency Ratio (i.e., Sharpe Ratio) of 0.22, which indicates the fund had a 0.22 % return per unit of risk over the last 3 months. We have found twenty-six technical indicators for Short Term Income Fund, which you can use to evaluate the volatility of the fund. Please validate Short Term's Downside Deviation of 0.0862, standard deviation of 0.0703, and Risk Adjusted Performance of 0.0502 to confirm if the risk estimate we provide is consistent with the expected return of 0.0151%. The entity has a beta of -0.0016, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Short Term are expected to decrease at a much lower rate. During the bear market, Short Term is likely to outperform the market.
Auto-correlation | 0.59 |
Modest predictability
Short Term Income Fund has modest predictability. Overlapping area represents the amount of predictability between Short Term time series from 8th of November 2025 to 23rd of December 2025 and 23rd of December 2025 to 6th of February 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 Term Income price movement. The serial correlation of 0.59 indicates that roughly 59.0% of current Short Term price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.59 | |
| Spearman Rank Test | 0.58 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Short Term 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 Term Income Technical Analysis
The output start index for this execution was fifty with a total number of output elements of eleven. 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 Short Term Income volatility. High ATR values indicate high volatility, and low values indicate low volatility.
About Short Term 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 Term Income Fund 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 Term Income Fund based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Short Term Income price pattern first instead of the macroeconomic environment surrounding Short Term Income. By analyzing Short Term'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 Term'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 Term specific price patterns or momentum indicators. Please read more on our technical analysis page.
Short Term February 6, 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 | 0.0502 | |||
| Market Risk Adjusted Performance | (2.34) | |||
| Mean Deviation | 0.0505 | |||
| Downside Deviation | 0.0862 | |||
| Coefficient Of Variation | 511.04 | |||
| Standard Deviation | 0.0703 | |||
| Variance | 0.0049 | |||
| Information Ratio | (0.45) | |||
| Jensen Alpha | 0.0038 | |||
| Total Risk Alpha | 5.0E-4 | |||
| Sortino Ratio | (0.36) | |||
| Treynor Ratio | (2.35) | |||
| Maximum Drawdown | 0.2485 | |||
| Value At Risk | (0.08) | |||
| Potential Upside | 0.1653 | |||
| Downside Variance | 0.0074 | |||
| Semi Variance | (0.01) | |||
| Expected Short fall | (0.11) | |||
| Skewness | 0.8988 | |||
| Kurtosis | 1.25 |
Short Term Income One Year Return
Based on the recorded statements, Short Term Income Fund has an One Year Return of 4.1414%. This is 83.09% lower than that of the Principal Funds family and significantly higher than that of the Short-Term Bond category. The one year return for all United States funds is notably lower than that of the firm.
Although One Year Fund Return indicator can give a sense of overall fund short-term potential, it is recommended to look at mid and long term return measure before selecting a particular fund or ETF. The great way to validate fund short-term performance is to compare it with other similar funds or ETFs for the same 12 months interval.Short Term February 6, 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 | Huge | ||
| Rate Of Daily Change | 1.00 | ||
| Day Median Price | 12.19 | ||
| Day Typical Price | 12.19 | ||
| Price Action Indicator | 0.00 |
Other Information on Investing in Short Mutual Fund
Short Term 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 Term security.
| Headlines Timeline Stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity | |
| Latest Portfolios Quick portfolio dashboard that showcases your latest portfolios |