COMPUTER MODELLING (Germany) Statistic Functions Beta
| 5TJ Stock | EUR 3.80 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 COMPUTER MODELLING correlated with the market. If Beta is less than 0 COMPUTER MODELLING generally moves in the opposite direction as compared to the market. If COMPUTER MODELLING Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one COMPUTER MODELLING is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of COMPUTER MODELLING is generally in the same direction as the market. If Beta > 1 COMPUTER MODELLING moves generally in the same direction as, but more than the movement of the benchmark.
COMPUTER MODELLING Technical Analysis Modules
Most technical analysis of COMPUTER MODELLING 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 COMPUTER from various momentum indicators to cycle indicators. When you analyze COMPUTER 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 COMPUTER MODELLING 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 COMPUTER MODELLING. We use our internally-developed statistical techniques to arrive at the intrinsic value of COMPUTER MODELLING based on widely used predictive technical indicators. In general, we focus on analyzing COMPUTER Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build COMPUTER MODELLING'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 COMPUTER MODELLING's intrinsic value. In addition to deriving basic predictive indicators for COMPUTER MODELLING, we also check how macroeconomic factors affect COMPUTER MODELLING price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
Align your values with your investing style
In addition to having COMPUTER MODELLING in your portfolios, you can quickly add positions using our predefined set of ideas and optimize them against your very unique investing style. A single investing idea is a collection of funds, stocks, ETFs, or cryptocurrencies that are programmatically selected from a pull of investment themes. After you determine your investment opportunity, you can then find an optimal portfolio that will maximize potential returns on the chosen idea or minimize its exposure to market volatility.Thematic Opportunities
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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. | Artificial Intelligence Invested few shares | |
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Other Information on Investing in COMPUTER Stock
COMPUTER MODELLING financial ratios help investors to determine whether COMPUTER 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 COMPUTER with respect to the benefits of owning COMPUTER MODELLING security.