Short Term Income Fund Technical Analysis
| PSHIX Fund | USD 11.97 0.01 0.08% |
As of the 22nd of December, Short Term has the Risk Adjusted Performance of (0.13), variance of 0.0096, and Coefficient Of Variation of (1,299). 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 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
Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. 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.
Short Term Income Trend Analysis
Use this graph to draw trend lines for Short Term Income Fund. You can use it to identify possible trend reversals for Short Term as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual Short Term price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Short Term Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Short Term Income Fund applied against its price change over selected period. The best fit line has a slop of 0.0002 , which may suggest that Short Term Income Fund market price will keep on failing further. It has 122 observation points and a regression sum of squares at 0.0, which is the sum of squared deviations for the predicted Short Term price change compared to its average price change.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 December 22, 2024 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 | (0.13) | |||
| Market Risk Adjusted Performance | (5.00) | |||
| Mean Deviation | 0.0707 | |||
| Coefficient Of Variation | (1,299) | |||
| Standard Deviation | 0.0978 | |||
| Variance | 0.0096 | |||
| Information Ratio | (0.41) | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.02) | |||
| Treynor Ratio | (5.01) | |||
| Maximum Drawdown | 0.4985 | |||
| Value At Risk | (0.17) | |||
| Potential Upside | 0.1663 | |||
| Skewness | (0.40) | |||
| Kurtosis | 1.53 |
Short Term Income One Year Return
Based on the recorded statements, Short Term Income Fund has an One Year Return of 5.6443%. This is 76.95% 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.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.
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