R Co (Germany) Statistic Functions Beta
0P00017SX2 | EUR 3,031 87.32 2.80% |
Symbol |
The output start index for this execution was twenty with a total number of output elements of fourty-one. The Beta measures systematic risk based on how returns on R co Valor correlated with the market. If Beta is less than 0 R Co generally moves in the opposite direction as compared to the market. If R Co Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one R co Valor is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of R Co is generally in the same direction as the market. If Beta > 1 R Co moves generally in the same direction as, but more than the movement of the benchmark.
R Co Technical Analysis Modules
Most technical analysis of R Co 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 0P00017SX2 from various momentum indicators to cycle indicators. When you analyze 0P00017SX2 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 R Co 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 R co Valor F. We use our internally-developed statistical techniques to arrive at the intrinsic value of R co Valor F based on widely used predictive technical indicators. In general, we focus on analyzing 0P00017SX2 Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build R Co'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 R Co's intrinsic value. In addition to deriving basic predictive indicators for R Co, we also check how macroeconomic factors affect R Co 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 0P00017SX2 Fund
R Co financial ratios help investors to determine whether 0P00017SX2 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 0P00017SX2 with respect to the benefits of owning R Co security.
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