Short Intermediate Bond Fund Technical Analysis
| FOSPX Fund | USD 9.08 0.00 0.00% |
As of the 3rd of December, Short-intermediate has the Downside Deviation of 0.1407, standard deviation of 0.1173, and Risk Adjusted Performance of 0.0107. Short-intermediate 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-intermediate 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-intermediate, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to Short-intermediateShort-intermediate |
Short-intermediate 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 Intermediate Bond Technical Analysis
The output start index for this execution was twenty-eight with a total number of output elements of thirty-three. 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 Intermediate Bond volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Short Intermediate Bond Trend Analysis
Use this graph to draw trend lines for Short Intermediate Bond Fund. You can use it to identify possible trend reversals for Short-intermediate 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-intermediate price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Short-intermediate Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Short Intermediate Bond Fund applied against its price change over selected period. The best fit line has a slop of 0.0007 , which may suggest that Short Intermediate Bond Fund 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-intermediate price change compared to its average price change.About Short-intermediate 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 Intermediate Bond 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 Intermediate Bond Fund based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Short Intermediate Bond price pattern first instead of the macroeconomic environment surrounding Short Intermediate Bond. By analyzing Short-intermediate'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-intermediate'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-intermediate specific price patterns or momentum indicators. Please read more on our technical analysis page.
Short-intermediate December 3, 2024 Technical Indicators
Most technical analysis of Short-intermediate 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-intermediate from various momentum indicators to cycle indicators. When you analyze Short-intermediate 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 | 0.0107 | |||
| Market Risk Adjusted Performance | 0.031 | |||
| Mean Deviation | 0.09 | |||
| Downside Deviation | 0.1407 | |||
| Coefficient Of Variation | 1159.83 | |||
| Standard Deviation | 0.1173 | |||
| Variance | 0.0138 | |||
| Information Ratio | (0.97) | |||
| Jensen Alpha | (0.0005) | |||
| Total Risk Alpha | (0.02) | |||
| Sortino Ratio | (0.81) | |||
| Treynor Ratio | 0.021 | |||
| Maximum Drawdown | 0.5516 | |||
| Value At Risk | (0.11) | |||
| Potential Upside | 0.221 | |||
| Downside Variance | 0.0198 | |||
| Semi Variance | (0) | |||
| Expected Short fall | (0.14) | |||
| Skewness | 0.0604 | |||
| Kurtosis | 0.46 |
Other Information on Investing in Short-intermediate Mutual Fund
Short-intermediate financial ratios help investors to determine whether Short-intermediate 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-intermediate with respect to the benefits of owning Short-intermediate security.
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