Short Term Income Fund Technical Analysis
| PSTPX Fund | USD 10.17 0.01 0.1% |
As of the 4th of March, Short-term Income has the Standard Deviation of 0.1521, risk adjusted performance of (0.05), and Information Ratio of (0.32). 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.
| 12/04/2025 |
| 03/04/2026 |
If you would invest 0.00 in Short-term Income on December 4, 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 Health Care, Delaware Healthcare, Alger Health, Alphacentric Lifesci, Hartford Healthcare, and Prudential Health. 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 | (0.32) | |||
| 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 | (0.05) | |||
| Total Risk Alpha | (0.02) |
Short-term Income March 4, 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 | (0.05) | |||
| Mean Deviation | 0.0385 | |||
| Coefficient Of Variation | (11,070) | |||
| Standard Deviation | 0.1521 | |||
| Variance | 0.0231 | |||
| Information Ratio | (0.32) | |||
| Total Risk Alpha | (0.02) | |||
| Maximum Drawdown | 1.27 | |||
| Potential Upside | 0.0987 | |||
| Skewness | (7.22) | |||
| Kurtosis | 56.47 |
Short Term Income Backtested Returns
Short Term Income owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0198, which indicates the fund had a -0.0198 % return per unit of risk over the last 3 months. Short Term Income Fund exposes seventeen different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Short-term Income's Information Ratio of (0.32), standard deviation of 0.1521, and Risk Adjusted Performance of (0.05) to confirm the risk estimate we provide. The entity has a beta of 0.0, which indicates not very significant fluctuations relative to the market. the returns on MARKET and Short-term Income are completely uncorrelated.
Auto-correlation | -0.75 |
Almost perfect reverse predictability
Short Term Income Fund has almost perfect reverse predictability. Overlapping area represents the amount of predictability between Short-term Income time series from 4th of December 2025 to 18th of January 2026 and 18th of January 2026 to 4th of March 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 -0.75 indicates that around 75.0% of current Short-term Income price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.75 | |
| Spearman Rank Test | -0.48 | |
| 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 two with a total number of output elements of fifty-nine. The Normalized Average True Range is used to analyze tradable apportunities for Short Term Income across different markets.
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 March 4, 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 | (0.05) | |||
| Mean Deviation | 0.0385 | |||
| Coefficient Of Variation | (11,070) | |||
| Standard Deviation | 0.1521 | |||
| Variance | 0.0231 | |||
| Information Ratio | (0.32) | |||
| Total Risk Alpha | (0.02) | |||
| Maximum Drawdown | 1.27 | |||
| Potential Upside | 0.0987 | |||
| Skewness | (7.22) | |||
| Kurtosis | 56.47 |
Short-term Income March 4, 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 | 10.17 | ||
| Day Typical Price | 10.17 | ||
| 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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