Energy Services Fund Statistic Functions Beta
| RYVCX Fund | USD 191.53 0.70 0.37% |
| Symbol |
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. The Beta measures systematic risk based on how returns on Energy Services correlated with the market. If Beta is less than 0 Energy Services generally moves in the opposite direction as compared to the market. If Energy Services Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Energy Services is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Energy Services is generally in the same direction as the market. If Beta > 1 Energy Services moves generally in the same direction as, but more than the movement of the benchmark.
Energy Services Technical Analysis Modules
Most technical analysis of Energy Services 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 Energy from various momentum indicators to cycle indicators. When you analyze Energy 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 Energy Services 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 Energy Services Fund. We use our internally-developed statistical techniques to arrive at the intrinsic value of Energy Services Fund based on widely used predictive technical indicators. In general, we focus on analyzing Energy Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Energy Services'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 Energy Services's intrinsic value. In addition to deriving basic predictive indicators for Energy Services, we also check how macroeconomic factors affect Energy Services 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 Energy Services' 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 Energy Mutual Fund
Energy Services financial ratios help investors to determine whether Energy 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 Energy with respect to the benefits of owning Energy Services security.
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