Goldman Sachs Clean Fund Statistic Functions Beta

GCEEX Fund  USD 12.68  -0.27  -2.08%   
The statistic functions view organizes Beta function and supporting indicators around Goldman Sachs. The analysis highlights statistical functions describing dispersion and variability and frames technical signals with volatility and risk context. Please specify Time Period to run the technical study.

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

Goldman Sachs Technical Analysis Modules

Technical analysis of Goldman Sachs uses historical price and volume data to identify patterns that may signal where the Goldman trend is heading. Combining trend-following and mean-reversion signals can improve timing for Goldman entries and exits.

Methodology, Assumptions & Data Sources

The Statistic Functions trend below shows where Goldman Sachs stands now versus the past. The range of past values shows how much this number tends to move.

This section for Goldman Sachs Clean is built from fund disclosures and market reference feeds, with harmonization applied to align reporting definitions. Values may update on different source schedules.

This content is curated and reviewed by:

Michael Smolkin - Member of Macroaxis Board of Directors
Last reviewed on February 23rd, 2026