Groupama Entreprises (Germany) Statistic Functions Beta
| 0P00001S8S | EUR 594.52 0.00 0.00% |
| 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 Groupama Entreprises correlated with the market. If Beta is less than 0 Groupama Entreprises generally moves in the opposite direction as compared to the market. If Groupama Entreprises Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Groupama Entreprises is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Groupama Entreprises is generally in the same direction as the market. If Beta > 1 Groupama Entreprises moves generally in the same direction as, but more than the movement of the benchmark.
Groupama Entreprises Technical Analysis Modules
Most technical analysis of Groupama Entreprises 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 Groupama from various momentum indicators to cycle indicators. When you analyze Groupama 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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| Overlap Studies | ||
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| Volume Indicators |
About Groupama Entreprises 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 Groupama Entreprises N. We use our internally-developed statistical techniques to arrive at the intrinsic value of Groupama Entreprises N based on widely used predictive technical indicators. In general, we focus on analyzing Groupama Fund price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Groupama Entreprises'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 Groupama Entreprises's intrinsic value. In addition to deriving basic predictive indicators for Groupama Entreprises, we also check how macroeconomic factors affect Groupama Entreprises 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 Groupama Entreprises 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, Groupama Entreprises' short interest history, or implied volatility extrapolated from Groupama Entreprises options trading.
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Other Information on Investing in Groupama Fund
Groupama Entreprises financial ratios help investors to determine whether Groupama 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 Groupama with respect to the benefits of owning Groupama Entreprises security.
| Price Exposure Probability Analyze equity upside and downside potential for a given time horizon across multiple markets | |
| Technical Analysis Check basic technical indicators and analysis based on most latest market data |