Goldman Sachs Small Fund Statistic Functions Beta

GSQRX Fund

USD 29.29 -0.09 -0.31%

Use the statistic functions workspace to apply Beta function and other studies to Goldman Sachs. The focus on statistical functions describing dispersion and variability helps organize trend, volatility, and risk context for Goldman Sachs.Enter Time Period to start the analysis.

Symbol

The output start index for this execution was twenty-four with a total number of output elements of thirty-seven. The Beta measures systematic risk based on how returns on Goldman Sachs Small 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 Small 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

Most technical analysis of Goldman Sachs 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 Goldman from various momentum indicators to cycle indicators. When you analyze Goldman 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
	Math Operators
	Math Transform
	Momentum Indicators
	Overlap Studies
	Pattern Recognition
	Price Transform
	Statistic Functions
	Volatility Indicators
	Volume Indicators

Mutual Fund Overview, Methodology & Data Sources

Holdings composition and factor tilts shape how Goldman Sachs behaves across cycles. The current allocation is approximately 99.0% equities and 1.0% cash. It is classified under Small Value within the Goldman Sachs family. Some cyclical sensitivity may emerge during periods of macroeconomic volatility.

Methodology

Unless otherwise specified, data for Goldman Sachs Small is derived from fund disclosures (prospectus language, holdings reports, and periodic statements where available). Asset-level metrics are computed daily by Macroaxis LLC and refreshed regularly based on instrument type. Goldman Sachs Small market data and reported NAV may reflect delayed updates. Data may be delayed depending on reporting sources and market conventions. Assumptions: Inputs rely on public fund disclosures, holdings reports, and market data feeds and institutional disclosures from U.S. Securities and Exchange Commission (SEC) via EDGAR. Publication cadence can introduce timing differences. All analytics are generated using standardized, rules-based models designed to promote consistency and comparability across instruments. Model assumptions, reference parameters, and selected computational inputs are available in the Model Inputs section. If you have questions about our data sources or methodology, please contact Macroaxis Support.

Research Sources

Goldman Sachs Small may have reference inputs that incorporate holdings disclosures, category classification, and NAV-derived statistics where available. Updates may occur throughout the day.

This content is curated and reviewed by:

Gabriel Shpitalnik - Member of Macroaxis Editorial Board

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