Dunham Monthly Distribution Fund Technical Analysis
| DAMDX Fund | USD 27.36 0.01 0.04% |
As of the 19th of April, Dunham Monthly shows the Mean Deviation of 0.1265, variance of 0.0399, and Standard Deviation of 0.1997. Dunham Monthly Distr 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 thirteen technical drivers for Dunham Monthly Distribution, which can be compared to its peers. Please confirm Dunham Monthly Distr variance and potential upside to decide if Dunham Monthly Distr is priced favorably, providing market reflects its regular price of 27.36 per share.
Dunham Monthly Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Dunham, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to DunhamDunham |
Dunham Monthly 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.
Dunham Monthly Distr 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 Dunham Monthly Distr volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Dunham Monthly Distr Trend Analysis
Use this graph to draw trend lines for Dunham Monthly Distribution. You can use it to identify possible trend reversals for Dunham Monthly 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 Dunham Monthly price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Dunham Monthly Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Dunham Monthly Distribution applied against its price change over selected period. The best fit line has a slop of 0 , which means Dunham Monthly Distribution will continue generating value for investors. It has 122 observation points and a regression sum of squares at 0.04, which is the sum of squared deviations for the predicted Dunham Monthly price change compared to its average price change.About Dunham Monthly 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 Dunham Monthly Distribution 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 Dunham Monthly Distribution based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Dunham Monthly Distr price pattern first instead of the macroeconomic environment surrounding Dunham Monthly Distr. By analyzing Dunham Monthly'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 Dunham Monthly'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 Dunham Monthly specific price patterns or momentum indicators. Please read more on our technical analysis page.
Dunham Monthly April 19, 2024 Technical Indicators
Most technical analysis of Dunham 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 Dunham from various momentum indicators to cycle indicators. When you analyze Dunham 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 | (0.04) | |||
| Market Risk Adjusted Performance | (0.29) | |||
| Mean Deviation | 0.1265 | |||
| Coefficient Of Variation | (3,104) | |||
| Standard Deviation | 0.1997 | |||
| Variance | 0.0399 | |||
| Information Ratio | (0.38) | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.04) | |||
| Treynor Ratio | (0.30) | |||
| Maximum Drawdown | 1.52 | |||
| Value At Risk | (0.29) | |||
| Potential Upside | 0.2188 | |||
| Skewness | 0.5031 | |||
| Kurtosis | 6.86 |
Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in Dunham Monthly Distribution. 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 unemployment. Note that the Dunham Monthly Distr information on this page should be used as a complementary analysis to other Dunham Monthly'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 Aroon Oscillator module to analyze current equity momentum using Aroon Oscillator and other momentum ratios.