Short Term Government Securities Fund Technical Analysis
| HOSGX Fund | USD 4.97 0.01 0.20% |
As of the 15th of December 2024, Short Term has the Variance of 0.0288, risk adjusted performance of (0.1), and Coefficient Of Variation of (1,129). Short Term technical analysis provides you with a way to harness past market data to determine a pattern that measures the direction of the fund's future prices.
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 Government Technical Analysis
The output start index for this execution was ten with a total number of output elements of fifty-one. 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 Government volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Short Term Government Trend Analysis
Use this graph to draw trend lines for Short Term Government Securities. 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 Government Securities applied against its price change over selected period. The best fit line has a slop of 0.0007 , which may suggest that Short Term Government Securities market price will keep on failing further. It has 122 observation points and a regression sum of squares at 0.02, 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 Government Securities 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 Government Securities based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Short Term Government price pattern first instead of the macroeconomic environment surrounding Short Term Government. 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 15, 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 | (0.1) | |||
| Market Risk Adjusted Performance | 0.8612 | |||
| Mean Deviation | 0.1243 | |||
| Coefficient Of Variation | (1,129) | |||
| Standard Deviation | 0.1696 | |||
| Variance | 0.0288 | |||
| Information Ratio | (0.68) | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.05) | |||
| Treynor Ratio | 0.8512 | |||
| Maximum Drawdown | 0.796 | |||
| Value At Risk | (0.20) | |||
| Potential Upside | 0.2012 | |||
| Skewness | (0.31) | |||
| Kurtosis | 0.93 |
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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