Power Dividend Index Fund Statistic Functions Beta
| PWDCX Fund | USD 9.11 0.46 4.81% |
| Symbol |
The output start index for this execution was fourteen with a total number of output elements of fourty-seven. The Beta measures systematic risk based on how returns on Power Dividend Index correlated with the market. If Beta is less than 0 Power Dividend generally moves in the opposite direction as compared to the market. If Power Dividend Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Power Dividend Index is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Power Dividend is generally in the same direction as the market. If Beta > 1 Power Dividend moves generally in the same direction as, but more than the movement of the benchmark.
Power Dividend Technical Analysis Modules
Most technical analysis of Power Dividend 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 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 |
About Power Dividend Predictive Technical Analysis
Predictive technical analysis modules help investors to analyze different prices and returns patterns as well as diagnose historical swings to determine the real value of Power Dividend Index. We use our internally-developed statistical techniques to arrive at the intrinsic value of Power Dividend Index based on widely used predictive technical indicators. In general, we focus on analyzing Power Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Power Dividend's daily price indicators and compare them against related drivers, such as statistic functions and various other types of predictive indicators. Using this methodology combined with a more conventional technical analysis and fundamental analysis, we attempt to find the most accurate representation of Power Dividend's intrinsic value. In addition to deriving basic predictive indicators for Power Dividend, we also check how macroeconomic factors affect Power Dividend price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of Power Dividend's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
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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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