REGIONS FINANCIAL (Germany) Statistic Functions Beta
| RN70 Stock | 18.30 0.50 2.81% |
| Symbol |
The output start index for this execution was three with a total number of output elements of fifty-eight. The Beta measures systematic risk based on how returns on REGIONS FINANCIAL PFD correlated with the market. If Beta is less than 0 REGIONS FINANCIAL generally moves in the opposite direction as compared to the market. If REGIONS FINANCIAL Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one REGIONS FINANCIAL PFD is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of REGIONS FINANCIAL is generally in the same direction as the market. If Beta > 1 REGIONS FINANCIAL moves generally in the same direction as, but more than the movement of the benchmark.
REGIONS FINANCIAL Technical Analysis Modules
Most technical analysis of REGIONS FINANCIAL 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 REGIONS from various momentum indicators to cycle indicators. When you analyze REGIONS 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 REGIONS FINANCIAL 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 REGIONS FINANCIAL PFD. We use our internally-developed statistical techniques to arrive at the intrinsic value of REGIONS FINANCIAL PFD based on widely used predictive technical indicators. In general, we focus on analyzing REGIONS Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build REGIONS FINANCIAL'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 REGIONS FINANCIAL's intrinsic value. In addition to deriving basic predictive indicators for REGIONS FINANCIAL, we also check how macroeconomic factors affect REGIONS FINANCIAL 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 REGIONS Stock
REGIONS FINANCIAL financial ratios help investors to determine whether REGIONS Stock 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 REGIONS with respect to the benefits of owning REGIONS FINANCIAL security.