Short Intermediate Bond Fund Technical Analysis
As of the 2nd of June, Short-intermediate has the Risk Adjusted Performance of 0.013, coefficient of variation of 1204.05, and Semi Deviation of 0.0488. 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. In other words, you can use this information to find out if the fund will indeed mirror its model of past prices and volume data, or the prices will eventually revert. We were able to interpolate data for nineteen technical drivers for Short Intermediate Bond Fund, which can be compared to its competition. Please validate Short Intermediate Bond coefficient of variation, maximum drawdown, as well as the relationship between the Maximum Drawdown and skewness to decide if Short-intermediate is priced more or less accurately, providing market reflects its prevalent price of 0.0 per share.
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 with a total number of output elements of fourty-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 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 0.0008 , which means Short Intermediate Bond Fund will continue generating value for investors. It has 122 observation points and a regression sum of squares at 0.03, 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 June 2, 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 | 0.013 | |||
| Market Risk Adjusted Performance | 0.0274 | |||
| Mean Deviation | 0.094 | |||
| Semi Deviation | 0.0488 | |||
| Downside Deviation | 0.1798 | |||
| Coefficient Of Variation | 1204.05 | |||
| Standard Deviation | 0.1278 | |||
| Variance | 0.0163 | |||
| Information Ratio | (0.27) | |||
| Jensen Alpha | (0.0006) | |||
| Total Risk Alpha | (0.01) | |||
| Sortino Ratio | (0.19) | |||
| Treynor Ratio | 0.0174 | |||
| Maximum Drawdown | 0.7869 | |||
| Value At Risk | (0.22) | |||
| Potential Upside | 0.2245 | |||
| Downside Variance | 0.0323 | |||
| Semi Variance | 0.0024 | |||
| Expected Short fall | (0.14) | |||
| Skewness | (0.59) | |||
| Kurtosis | 1.88 |
Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in Short Intermediate Bond Fund. Also, note that the market value of any mutual fund could be tightly coupled with the direction of predictive economic indicators such as signals in american community survey. You can also try the Money Flow Index module to determine momentum by analyzing Money Flow Index and other technical indicators.