REGION GROUP (Germany) Statistic Functions Beta
| S590 Stock | 1.32 0.01 0.75% |
| Symbol |
The output start index for this execution was ten with a total number of output elements of fifty-one. The Beta measures systematic risk based on how returns on REGION GROUP STAPLED correlated with the market. If Beta is less than 0 REGION GROUP generally moves in the opposite direction as compared to the market. If REGION GROUP Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one REGION GROUP STAPLED is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of REGION GROUP is generally in the same direction as the market. If Beta > 1 REGION GROUP moves generally in the same direction as, but more than the movement of the benchmark.
REGION GROUP Technical Analysis Modules
Most technical analysis of REGION GROUP 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 REGION from various momentum indicators to cycle indicators. When you analyze REGION 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 REGION GROUP 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 REGION GROUP STAPLED. We use our internally-developed statistical techniques to arrive at the intrinsic value of REGION GROUP STAPLED based on widely used predictive technical indicators. In general, we focus on analyzing REGION Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build REGION GROUP'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 REGION GROUP's intrinsic value. In addition to deriving basic predictive indicators for REGION GROUP, we also check how macroeconomic factors affect REGION GROUP price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards REGION GROUP in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, REGION GROUP's short interest history, or implied volatility extrapolated from REGION GROUP options trading.
Trending Themes
If you are a self-driven investor, you will appreciate our idea-generating investing themes. Our themes help you align your investments inspirations with your core values and are essential building blocks of your portfolios. A typical investing theme is an unweighted collection of up to 20 funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of equities with common characteristics such as industry and growth potential, volatility, or market segment. | Warren Buffett Holdings Invested few shares | |
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Other Information on Investing in REGION Stock
REGION GROUP financial ratios help investors to determine whether REGION 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 REGION with respect to the benefits of owning REGION GROUP security.