Dow Jones Hong Index Statistic Functions Beta

XLHK Index   7,087  32.17  0.46%   
Dow Jones statistic functions tool provides the execution environment for running the Beta function and other technical functions against Dow Jones. Dow Jones value trend is the prevailing direction of the price over some defined period of time. The concept of trend is an important idea in technical analysis, including the analysis of statistic functions indicators. As with most other technical indicators, the Beta function function is designed to identify and follow existing trends. Dow Jones statistical functions help analysts to determine different price movement patterns based on how price series statistical indicators change over time. Please specify Time Period to run this model.

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 Dow Jones Hong correlated with the market. If Beta is less than 0 Dow Jones generally moves in the opposite direction as compared to the market. If Dow Jones Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Dow Jones Hong is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of Dow Jones is generally in the same direction as the market. If Beta > 1 Dow Jones moves generally in the same direction as, but more than the movement of the benchmark.

Dow Jones Technical Analysis Modules

Most technical analysis of Dow Jones 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 Dow from various momentum indicators to cycle indicators. When you analyze Dow 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.

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