Wasatch Hoisington Treasury Fund Statistic Functions Beta
WHOSX Fund | USD 11.42 0.01 0.09% |
Symbol |
The output start index for this execution was twelve with a total number of output elements of fourty-nine. The Beta measures systematic risk based on how returns on Wasatch Hoisington correlated with the market. If Beta is less than 0 Wasatch Hoisington generally moves in the opposite direction as compared to the market. If Wasatch Hoisington Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Wasatch Hoisington is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Wasatch Hoisington is generally in the same direction as the market. If Beta > 1 Wasatch Hoisington moves generally in the same direction as, but more than the movement of the benchmark.
Wasatch Hoisington Technical Analysis Modules
Most technical analysis of Wasatch Hoisington 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 Wasatch from various momentum indicators to cycle indicators. When you analyze Wasatch 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 Wasatch Hoisington 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 Wasatch Hoisington Treasury Fund. We use our internally-developed statistical techniques to arrive at the intrinsic value of Wasatch Hoisington Treasury Fund based on widely used predictive technical indicators. In general, we focus on analyzing Wasatch Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Wasatch Hoisington'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 Wasatch Hoisington's intrinsic value. In addition to deriving basic predictive indicators for Wasatch Hoisington, we also check how macroeconomic factors affect Wasatch Hoisington 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 Wasatch Hoisington'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 Wasatch Mutual Fund
Wasatch Hoisington financial ratios help investors to determine whether Wasatch 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 Wasatch with respect to the benefits of owning Wasatch Hoisington security.
Alpha Finder Use alpha and beta coefficients to find investment opportunities after accounting for the risk | |
Aroon Oscillator Analyze current equity momentum using Aroon Oscillator and other momentum ratios | |
Efficient Frontier Plot and analyze your portfolio and positions against risk-return landscape of the market. | |
Performance Analysis Check effects of mean-variance optimization against your current asset allocation |