Goldman Sachs Small Fund Math Transform Inverse Tangent Over Price Movement

GCSUX Fund  USD 29.80  -0.63  -2.07%   
This math transform tool runs Inverse Tangent Over Price Movement transformation and companion studies for Goldman Sachs. The analysis highlights price transformations that reveal shifts in trend structure and frames technical signals with volatility and risk context.

Transformation
This analysis covers sixty-one data points across the selected time horizon. Goldman Sachs Small Inverse Tangent Over Price Movement function is an inverse trigonometric method to describe Goldman Sachs price patterns.

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.

Mutual Fund Overview, Methodology & Data Sources

Exposure drift is monitored through changes in holdings and factor weights. The current allocation is approximately 100.0% equities. It is classified under Small Blend within the Goldman Sachs family. The five-year return stands at 7.0%.

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:

Michael Smolkin - Member of Macroaxis Board of Directors
Last reviewed on February 26th, 2026

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Performance tracking around Goldman Sachs Small should go beyond the latest gain or loss and focus on how the position changes overall portfolio efficiency over time. This is most helpful when investors want a consistent framework for balancing conviction with risk control.

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Risk tolerance and time horizon inputs allow Macroaxis optimization to estimate acceptable risk levels. The output provides a structured risk context for return targets.