GOME Retail (Germany) Statistic Functions Beta
| CKS2 Stock | 0 0.00 0.00% |
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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 GOME Retail Holdings correlated with the market. If Beta is less than 0 GOME Retail generally moves in the opposite direction as compared to the market. If GOME Retail Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one GOME Retail Holdings is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of GOME Retail is generally in the same direction as the market. If Beta > 1 GOME Retail moves generally in the same direction as, but more than the movement of the benchmark.
GOME Retail Technical Analysis Modules
Most technical analysis of GOME Retail 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 GOME from various momentum indicators to cycle indicators. When you analyze GOME 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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About GOME Retail 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 GOME Retail Holdings. We use our internally-developed statistical techniques to arrive at the intrinsic value of GOME Retail Holdings based on widely used predictive technical indicators. In general, we focus on analyzing GOME Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build GOME Retail'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 GOME Retail's intrinsic value. In addition to deriving basic predictive indicators for GOME Retail, we also check how macroeconomic factors affect GOME Retail price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
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Additional Tools for GOME Stock Analysis
When running GOME Retail's price analysis, check to measure GOME Retail's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy GOME Retail is operating at the current time. Most of GOME Retail's value examination focuses on studying past and present price action to predict the probability of GOME Retail's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move GOME Retail's price. Additionally, you may evaluate how the addition of GOME Retail to your portfolios can decrease your overall portfolio volatility.