AUTOMATIC DATA PROCESSING Statistic Functions Beta
| 053015AF0 | 79.35 4.78 5.68% |
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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 generally moves in the opposite direction as compared to the market. If AUTOMATIC 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 is generally in the same direction as the market. If Beta > 1 AUTOMATIC moves generally in the same direction as, but more than the movement of the benchmark.
AUTOMATIC Technical Analysis Modules
Most technical analysis of AUTOMATIC 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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About AUTOMATIC 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 Bond price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build AUTOMATIC'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's intrinsic value. In addition to deriving basic predictive indicators for AUTOMATIC, we also check how macroeconomic factors affect AUTOMATIC price patterns. Please read more on our technical analysis page or use our predictive modules below to complement your research.
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Other Information on Investing in AUTOMATIC Bond
AUTOMATIC financial ratios help investors to determine whether AUTOMATIC Bond 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 AUTOMATIC with respect to the benefits of owning AUTOMATIC security.