ReFuels NV (Norway) Statistic Functions Beta

REFL Stock   15.10  0.10  0.67%   
ReFuels NV statistic functions tool provides the execution environment for running the Beta function and other technical functions against ReFuels NV. ReFuels NV 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. ReFuels NV 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.

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

ReFuels NV Technical Analysis Modules

Most technical analysis of ReFuels NV 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 ReFuels from various momentum indicators to cycle indicators. When you analyze ReFuels 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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