MONEYSUPERMARKET (Germany) Statistic Functions Beta
| 39M Stock | 2.31 0.01 0.43% |
| Symbol |
The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. The Beta measures systematic risk based on how returns on MONEYSUPERMARKET correlated with the market. If Beta is less than 0 MONEYSUPERMARKET generally moves in the opposite direction as compared to the market. If MONEYSUPERMARKET Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one MONEYSUPERMARKET is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of MONEYSUPERMARKET is generally in the same direction as the market. If Beta > 1 MONEYSUPERMARKET moves generally in the same direction as, but more than the movement of the benchmark.
MONEYSUPERMARKET Technical Analysis Modules
Most technical analysis of MONEYSUPERMARKET 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 MONEYSUPERMARKET from various momentum indicators to cycle indicators. When you analyze MONEYSUPERMARKET 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 MONEYSUPERMARKET 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 MONEYSUPERMARKET. We use our internally-developed statistical techniques to arrive at the intrinsic value of MONEYSUPERMARKET based on widely used predictive technical indicators. In general, we focus on analyzing MONEYSUPERMARKET Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build MONEYSUPERMARKET'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 MONEYSUPERMARKET's intrinsic value. In addition to deriving basic predictive indicators for MONEYSUPERMARKET, we also check how macroeconomic factors affect MONEYSUPERMARKET price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Sophisticated investors, who have witnessed many market ups and downs, anticipate that the market will even out over time. This tendency of MONEYSUPERMARKET's price to converge to an average value over time is called mean reversion. However, historically, high market prices usually discourage investors that believe in mean reversion to invest, while low prices are viewed as an opportunity to buy.
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Additional Tools for MONEYSUPERMARKET Stock Analysis
When running MONEYSUPERMARKET's price analysis, check to measure MONEYSUPERMARKET'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 MONEYSUPERMARKET is operating at the current time. Most of MONEYSUPERMARKET's value examination focuses on studying past and present price action to predict the probability of MONEYSUPERMARKET's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move MONEYSUPERMARKET's price. Additionally, you may evaluate how the addition of MONEYSUPERMARKET to your portfolios can decrease your overall portfolio volatility.