Amg Managers Skyline Fund Statistic Functions Beta
| SKSEX Fund | USD 34.87 0.30 0.85% |
| 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 Amg Managers Skyline correlated with the market. If Beta is less than 0 Amg Managers generally moves in the opposite direction as compared to the market. If Amg Managers Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Amg Managers Skyline is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Amg Managers is generally in the same direction as the market. If Beta > 1 Amg Managers moves generally in the same direction as, but more than the movement of the benchmark.
Amg Managers Technical Analysis Modules
Most technical analysis of Amg Managers 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 Amg from various momentum indicators to cycle indicators. When you analyze Amg 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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| Math Transform | ||
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| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About Amg Managers 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 Amg Managers Skyline. We use our internally-developed statistical techniques to arrive at the intrinsic value of Amg Managers Skyline based on widely used predictive technical indicators. In general, we focus on analyzing Amg Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Amg Managers'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 Amg Managers's intrinsic value. In addition to deriving basic predictive indicators for Amg Managers, we also check how macroeconomic factors affect Amg Managers 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 Amg Managers' 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 Amg Mutual Fund
Amg Managers financial ratios help investors to determine whether Amg 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 Amg with respect to the benefits of owning Amg Managers security.
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