Short Term Income Fund Technical Analysis
| PSTPX Fund | USD 10.16 0.01 0.1% |
As of the 8th of February, Short-term Income has the Variance of 0.0231, coefficient of variation of 9468.55, and Risk Adjusted Performance of (0.03). 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 Income 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-term, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to Short-termShort-term |
Short-term Income '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 Income'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 Income.
| 11/10/2025 |
| 02/08/2026 |
If you would invest 0.00 in Short-term Income on November 10, 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 Income over 90 days. Short-term Income is related to or competes with Gmo Small, Touchstone Small, Chartwell Small, Kinetics Small, Us Small, and Massmutual Premier. Under normal circumstances, the fund invests at least 80 percent of its net assets in debt securities More
Short-term Income 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 Income'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.
| Information Ratio | (0.58) | |||
| Maximum Drawdown | 1.27 | |||
| Potential Upside | 0.0987 |
Short-term Income Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for Short-term Income's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Short-term Income's standard deviation. In reality, there are many statistical measures that can use Short-term Income historical prices to predict the future Short-term Income's volatility.| Risk Adjusted Performance | (0.03) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.02) | |||
| Treynor Ratio | 2.54 |
Short-term Income February 8, 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 | (0.03) | |||
| Market Risk Adjusted Performance | 2.55 | |||
| Mean Deviation | 0.0382 | |||
| Coefficient Of Variation | 9468.55 | |||
| Standard Deviation | 0.1521 | |||
| Variance | 0.0231 | |||
| Information Ratio | (0.58) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.02) | |||
| Treynor Ratio | 2.54 | |||
| Maximum Drawdown | 1.27 | |||
| Potential Upside | 0.0987 | |||
| Skewness | (7.27) | |||
| Kurtosis | 57.08 |
Short Term Income Backtested Returns
At this stage we consider Short-term Mutual Fund to be very steady. Short Term Income owns Efficiency Ratio (i.e., Sharpe Ratio) of close to zero, which indicates the fund had a close to zero % return per unit of risk over the last 3 months. We have found twenty technical indicators for Short Term Income Fund, which you can use to evaluate the volatility of the fund. Please validate Short-term Income's Variance of 0.0231, coefficient of variation of 9468.55, and Risk Adjusted Performance of (0.03) to confirm if the risk estimate we provide is consistent with the expected return of 1.0E-4%. The entity has a beta of -0.0033, which indicates not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Short-term Income are expected to decrease at a much lower rate. During the bear market, Short-term Income is likely to outperform the market.
Auto-correlation | 0.96 |
Excellent predictability
Short Term Income Fund has excellent predictability. Overlapping area represents the amount of predictability between Short-term Income time series from 10th of November 2025 to 25th of December 2025 and 25th of December 2025 to 8th 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 0.96 indicates that 96.0% of current Short-term Income price fluctuation can be explain by its past prices.
| Correlation Coefficient | 0.96 | |
| Spearman Rank Test | 1.0 | |
| Residual Average | 0.0 | |
| Price Variance | 0.0 |
Short-term Income 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 one with a total number of output elements of sixty. 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 Income 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 Income'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 Income'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 Income specific price patterns or momentum indicators. Please read more on our technical analysis page.
Short-term Income February 8, 2026 Technical Indicators
Most technical analysis of Short-term 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-term from various momentum indicators to cycle indicators. When you analyze Short-term 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 | (0.03) | |||
| Market Risk Adjusted Performance | 2.55 | |||
| Mean Deviation | 0.0382 | |||
| Coefficient Of Variation | 9468.55 | |||
| Standard Deviation | 0.1521 | |||
| Variance | 0.0231 | |||
| Information Ratio | (0.58) | |||
| Jensen Alpha | (0.01) | |||
| Total Risk Alpha | (0.02) | |||
| Treynor Ratio | 2.54 | |||
| Maximum Drawdown | 1.27 | |||
| Potential Upside | 0.0987 | |||
| Skewness | (7.27) | |||
| Kurtosis | 57.08 |
Short-term Income February 8, 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-term 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 | 10.16 | ||
| Day Typical Price | 10.16 | ||
| Price Action Indicator | 0.00 |
Other Information on Investing in Short-term Mutual Fund
Short-term Income financial ratios help investors to determine whether Short-term 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-term with respect to the benefits of owning Short-term Income security.
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