Commodities Strategy Fund Statistic Functions Beta
| RYMJX Fund | USD 16.30 0.02 0.12% |
| Symbol |
Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. The Beta measures systematic risk based on how returns on Commodities Strategy correlated with the market. If Beta is less than 0 Commodities Strategy generally moves in the opposite direction as compared to the market. If Commodities Strategy Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Commodities Strategy is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Commodities Strategy is generally in the same direction as the market. If Beta > 1 Commodities Strategy moves generally in the same direction as, but more than the movement of the benchmark.
Commodities Strategy Technical Analysis Modules
Most technical analysis of Commodities Strategy 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 Commodities from various momentum indicators to cycle indicators. When you analyze Commodities 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 | ||
| Momentum Indicators | ||
| Overlap Studies | ||
| Pattern Recognition | ||
| Price Transform | ||
| Statistic Functions | ||
| Volatility Indicators | ||
| Volume Indicators |
About Commodities Strategy 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 Commodities Strategy Fund. We use our internally-developed statistical techniques to arrive at the intrinsic value of Commodities Strategy Fund based on widely used predictive technical indicators. In general, we focus on analyzing Commodities Mutual Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Commodities Strategy'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 Commodities Strategy's intrinsic value. In addition to deriving basic predictive indicators for Commodities Strategy, we also check how macroeconomic factors affect Commodities Strategy price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
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Other Information on Investing in Commodities Mutual Fund
Commodities Strategy financial ratios help investors to determine whether Commodities 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 Commodities with respect to the benefits of owning Commodities Strategy security.
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