Small Pany Value Fund Technical Analysis
| DTSVX Fund | USD 25.34 0.39 1.56% |
As of the 24th of April, Small Company has the Risk Adjusted Performance of 0.0404, semi deviation of 1.18, and Coefficient Of Variation of 1754.82. Small Company 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 and analyze data for nineteen technical drivers for Small Pany Value, which can be compared to its competition. Please validate Small Pany Value jensen alpha, semi variance, and the relationship between the standard deviation and value at risk to decide if Small Company is priced more or less accurately, providing market reflects its prevalent price of 25.34 per share.
Small Company Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Small, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to SmallSmall |
Small Company 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.
Small Pany Value 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 Small Pany Value volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Small Pany Value Trend Analysis
Use this graph to draw trend lines for Small Pany Value. You can use it to identify possible trend reversals for Small Company 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 Small Company price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Small Company Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Small Pany Value applied against its price change over selected period. The best fit line has a slop of 0.01 , which means Small Pany Value will continue generating value for investors. It has 122 observation points and a regression sum of squares at 4.94, which is the sum of squared deviations for the predicted Small Company price change compared to its average price change.About Small Company 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 Small Pany Value 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 Small Pany Value based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Small Pany Value price pattern first instead of the macroeconomic environment surrounding Small Pany Value. By analyzing Small Company'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 Small Company'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 Small Company specific price patterns or momentum indicators. Please read more on our technical analysis page.
Small Company April 24, 2024 Technical Indicators
Most technical analysis of Small 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 Small from various momentum indicators to cycle indicators. When you analyze Small 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 | 0.0404 | |||
| Market Risk Adjusted Performance | 0.0479 | |||
| Mean Deviation | 0.893 | |||
| Semi Deviation | 1.18 | |||
| Downside Deviation | 1.27 | |||
| Coefficient Of Variation | 1754.82 | |||
| Standard Deviation | 1.21 | |||
| Variance | 1.46 | |||
| Information Ratio | (0.02) | |||
| Jensen Alpha | (0.07) | |||
| Total Risk Alpha | (0.11) | |||
| Sortino Ratio | (0.02) | |||
| Treynor Ratio | 0.0379 | |||
| Maximum Drawdown | 7.12 | |||
| Value At Risk | (1.54) | |||
| Potential Upside | 2.02 | |||
| Downside Variance | 1.63 | |||
| Semi Variance | 1.4 | |||
| Expected Short fall | (0.96) | |||
| Skewness | (0.37) | |||
| Kurtosis | 1.61 |
Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in Small Pany Value. 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 real. You can also try the ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.