Guggenheim Alpha Opportunity Fund Statistic Functions Beta
| SAOCX Fund | USD 19.40 0.05 0.26% |
| Symbol |
The output start index for this execution was ten with a total number of output elements of fifty-one. The Beta measures systematic risk based on how returns on Guggenheim Alpha Opp correlated with the market. If Beta is less than 0 Guggenheim Alpha generally moves in the opposite direction as compared to the market. If Guggenheim Alpha Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Guggenheim Alpha Opp is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Guggenheim Alpha is generally in the same direction as the market. If Beta > 1 Guggenheim Alpha moves generally in the same direction as, but more than the movement of the benchmark.
Guggenheim Alpha Technical Analysis Modules
Most technical analysis of Guggenheim Alpha 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 Guggenheim from various momentum indicators to cycle indicators. When you analyze Guggenheim 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 | ||
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| Volume Indicators |
About Guggenheim Alpha 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 Guggenheim Alpha Opportunity. We use our internally-developed statistical techniques to arrive at the intrinsic value of Guggenheim Alpha Opportunity based on widely used predictive technical indicators. In general, we focus on analyzing Guggenheim Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Guggenheim Alpha'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 Guggenheim Alpha's intrinsic value. In addition to deriving basic predictive indicators for Guggenheim Alpha, we also check how macroeconomic factors affect Guggenheim Alpha 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 Guggenheim Alpha'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 Guggenheim Mutual Fund
Guggenheim Alpha financial ratios help investors to determine whether Guggenheim 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 Guggenheim with respect to the benefits of owning Guggenheim Alpha security.
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