Automatic Data (Germany) Statistic Functions Beta
| ADP Stock | EUR 289.95 1.70 0.59% |
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The function did not generate any output. Please change time horizon or modify your input parameters. The output start index for this execution was one with a total number of output elements of sixty. The Beta measures systematic risk based on how returns on Automatic Data Processing correlated with the market. If Beta is less than 0 Automatic Data generally moves in the opposite direction as compared to the market. If Automatic Data Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Automatic Data Processing is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Automatic Data is generally in the same direction as the market. If Beta > 1 Automatic Data moves generally in the same direction as, but more than the movement of the benchmark.
Automatic Data Technical Analysis Modules
Most technical analysis of Automatic Data 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 Automatic from various momentum indicators to cycle indicators. When you analyze Automatic 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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| Volume Indicators |
About Automatic Data 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 Automatic Data Processing. We use our internally-developed statistical techniques to arrive at the intrinsic value of Automatic Data Processing based on widely used predictive technical indicators. In general, we focus on analyzing Automatic Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Automatic Data'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 Automatic Data's intrinsic value. In addition to deriving basic predictive indicators for Automatic Data, we also check how macroeconomic factors affect Automatic Data 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 Automatic Data 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, Automatic Data's short interest history, or implied volatility extrapolated from Automatic Data 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. | Casinos Invested over 90 shares | |
 | Macroaxis Index Invested few shares | |
 | FinTech Invested over 60 shares | |
 | Hedge Favorites Invested over 100 shares | |
 | Banking Invested over 20 shares | |
 | Artificial Intelligence Invested few shares | |
 | Momentum Invested few shares | |
 | Automobiles and Trucks Invested over 50 shares | |
 | Manufacturing Invested over 30 shares | |
 | Business Services Invested few shares | |
 | Investor Favorites Invested over 60 shares | |
Additional Information and Resources on Investing in Automatic Stock
When determining whether Automatic Data Processing is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if Automatic Stock is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Automatic Data Processing Stock. Highlighted below are key reports to facilitate an investment decision about Automatic Data Processing Stock:Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Automatic Data Processing. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors. You can also try the Portfolio Dashboard module to portfolio dashboard that provides centralized access to all your investments.