Dreyfus Active Midcap Fund Technical Analysis
| DNLCX Fund | USD 49.12 0.08 0.16% |
As of the 19th of April, Dreyfus Active shows the Downside Deviation of 0.9848, semi deviation of 0.8497, and Mean Deviation of 0.6525. Dreyfus Active Midcap technical analysis allows you to utilize historical prices and volume patterns in order to determine a pattern that computes the direction of the entity's future prices. Put another way, you can use this information to find out if the entity will indeed mirror its model of historical prices and volume momentum, or the prices will eventually revert. We were able to break down nineteen technical drivers for Dreyfus Active Midcap, which can be compared to its peers. Please confirm Dreyfus Active Midcap standard deviation, as well as the relationship between the maximum drawdown and expected short fall to decide if Dreyfus Active Midcap is priced favorably, providing market reflects its regular price of 49.12 per share.
Dreyfus Active Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Dreyfus, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to DreyfusDreyfus |
Dreyfus Active 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.
Dreyfus Active Midcap 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 Dreyfus Active Midcap volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Dreyfus Active Midcap Trend Analysis
Use this graph to draw trend lines for Dreyfus Active Midcap. You can use it to identify possible trend reversals for Dreyfus Active 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 Dreyfus Active price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Dreyfus Active Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Dreyfus Active Midcap applied against its price change over selected period. The best fit line has a slop of 0.06 , which means Dreyfus Active Midcap will continue generating value for investors. It has 122 observation points and a regression sum of squares at 129.77, which is the sum of squared deviations for the predicted Dreyfus Active price change compared to its average price change.About Dreyfus Active 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 Dreyfus Active Midcap 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 Dreyfus Active Midcap based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Dreyfus Active Midcap price pattern first instead of the macroeconomic environment surrounding Dreyfus Active Midcap. By analyzing Dreyfus Active'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 Dreyfus Active'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 Dreyfus Active specific price patterns or momentum indicators. Please read more on our technical analysis page.
Dreyfus Active April 19, 2024 Technical Indicators
Most technical analysis of Dreyfus 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 Dreyfus from various momentum indicators to cycle indicators. When you analyze Dreyfus 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.
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| Volume Indicators |
| Risk Adjusted Performance | 0.0497 | |||
| Market Risk Adjusted Performance | 0.0557 | |||
| Mean Deviation | 0.6525 | |||
| Semi Deviation | 0.8497 | |||
| Downside Deviation | 0.9848 | |||
| Coefficient Of Variation | 1313.51 | |||
| Standard Deviation | 0.8443 | |||
| Variance | 0.7128 | |||
| Information Ratio | (0.01) | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | (0) | |||
| Treynor Ratio | 0.0457 | |||
| Maximum Drawdown | 4.36 | |||
| Value At Risk | (1.59) | |||
| Potential Upside | 1.29 | |||
| Downside Variance | 0.9699 | |||
| Semi Variance | 0.722 | |||
| Expected Short fall | (0.64) | |||
| Skewness | (0.86) | |||
| Kurtosis | 1.31 |
Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in Dreyfus Active Midcap. 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 main economic indicators. Note that the Dreyfus Active Midcap information on this page should be used as a complementary analysis to other Dreyfus Active's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.