SoftwareONE Holding AG Stock Statistic Functions Beta

SWONF Stock  USD 8.50  -0.23  -2.63%   
The statistic functions framework organizes Beta function across SoftwareONE Holding. The dataset reflects historical price and volume inputs. Primary emphasis is on statistical functions describing dispersion and variability within overall market behavior. The information is shown as reference data. Enter Time Period to generate the indicator output.

This analysis covers thirty-seven data points across the selected time horizon. The Beta measures systematic risk based on how returns on SoftwareONE Holding correlated with the market. If Beta is less than 0 SoftwareONE Holding generally moves in the opposite direction as compared to the market. If SoftwareONE Holding Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one SoftwareONE Holding is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of SoftwareONE Holding is generally in the same direction as the market. If Beta > 1 SoftwareONE Holding moves generally in the same direction as, but more than the movement of the benchmark.

SoftwareONE Holding Technical Analysis Modules

Technical analysis of SoftwareONE Holding uses historical price and volume data to identify patterns that may signal where the SoftwareONE trend is heading. The broader market regime is relevant when interpreting SoftwareONE technical signals, as sector-wide moves can dominate individual patterns.

Methodology, Assumptions & Data Sources

This page covers SoftwareONE Holding's Statistic Functions from period to period. The slope of the line shows how fast things are changing.

For SoftwareONE Holding AG, this section uses periodic company reporting and market reference feeds with Macroaxis normalization rules applied to keep cross-asset comparisons consistent. Intraday timing differences may exist.

This content is curated and reviewed by:

Raphi Shpitalnik - Junior Member of Macroaxis Editorial Board
Last reviewed on March 9th, 2026