Power Dividend Index Fund Technical Analysis
| PWDIX Fund | USD 9.86 0.04 0.40% |
As of the 29th of November, Power Dividend holds the Coefficient Of Variation of 849.39, semi deviation of 0.4682, and Risk Adjusted Performance of 0.09. Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Power Dividend, as well as the relationship between them.
Power Dividend Momentum Analysis
Momentum indicators are widely used technical indicators which help to measure the pace at which the price of specific equity, such as Power, fluctuates. Many momentum indicators also complement each other and can be helpful when the market is rising or falling as compared to PowerPower |
Power Dividend 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.
Power Dividend Index 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 Power Dividend Index volatility. High ATR values indicate high volatility, and low values indicate low volatility.
Power Dividend Index Trend Analysis
Use this graph to draw trend lines for Power Dividend Index. You can use it to identify possible trend reversals for Power Dividend 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 Power Dividend price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.Power Dividend Best Fit Change Line
The following chart estimates an ordinary least squares regression model for Power Dividend Index applied against its price change over selected period. The best fit line has a slop of 0.01 , which means Power Dividend Index will continue generating value for investors. It has 122 observation points and a regression sum of squares at 2.41, which is the sum of squared deviations for the predicted Power Dividend price change compared to its average price change.About Power Dividend 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 Power Dividend Index 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 Power Dividend Index based on its technical analysis. In general, a bottom-up approach, as applied to this mutual fund, focuses on Power Dividend Index price pattern first instead of the macroeconomic environment surrounding Power Dividend Index. By analyzing Power Dividend'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 Power Dividend'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 Power Dividend specific price patterns or momentum indicators. Please read more on our technical analysis page.
Power Dividend November 29, 2024 Technical Indicators
Most technical analysis of Power 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 Power from various momentum indicators to cycle indicators. When you analyze Power 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 | 0.09 | |||
| Market Risk Adjusted Performance | 0.1002 | |||
| Mean Deviation | 0.5874 | |||
| Semi Deviation | 0.4682 | |||
| Downside Deviation | 0.608 | |||
| Coefficient Of Variation | 849.39 | |||
| Standard Deviation | 0.7485 | |||
| Variance | 0.5602 | |||
| Information Ratio | (0.05) | |||
| Jensen Alpha | (0.02) | |||
| Total Risk Alpha | (0.03) | |||
| Sortino Ratio | (0.06) | |||
| Treynor Ratio | 0.0902 | |||
| Maximum Drawdown | 3.75 | |||
| Value At Risk | (0.95) | |||
| Potential Upside | 1.26 | |||
| Downside Variance | 0.3697 | |||
| Semi Variance | 0.2193 | |||
| Expected Short fall | (0.78) | |||
| Skewness | 0.7999 | |||
| Kurtosis | 1.49 |
Other Information on Investing in Power Mutual Fund
Power Dividend financial ratios help investors to determine whether Power 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 Power with respect to the benefits of owning Power Dividend security.
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