The Global Alpha Fund Statistic Functions Linear Regression

BGAKX Fund  USD 12.75  0.12  0.95%   
This statistic functions tool runs Linear Regression function and companion studies for Global Alpha. This view tracks statistical functions describing dispersion and variability to support structured performance interpretation without implying advice.Provide Time Period to generate the indicator output.

Execute Function
The output start index for this execution was twenty-three with a total number of output elements of thirty-eight. The Linear Regression model generates relationship between price series of Global Alpha and its peer or benchmark and helps predict Global Alpha future price from its past values.

Global Alpha Technical Analysis Modules

Most technical analysis of Global Alpha 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 Global from various momentum indicators to cycle indicators. When you analyze Global 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.

About The Global Alpha Equity Fund Class K

Exposure drift is monitored through changes in holdings and factor weights. The current allocation is approximately 100.0% equities. It is classified under World Large-Stock Growth within the Baillie Gifford Funds family. The five-year return stands at 2.0%.

Methodology

Unless otherwise specified, data for The Global Alpha 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. The Global Alpha market data and reported NAV may reflect delayed updates. Data may be delayed depending on reporting sources and market conventions. Assumptions: Underlying inputs rely on public fund disclosures, holdings reports, and market data feeds, including disclosures from U.S. Securities and Exchange Commission (SEC) via EDGAR. Values may reflect publication 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

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


Become your own money manager

Tracking Global Alpha inside a portfolio is useful because individual winners can still weaken diversification or distort overall risk targets. A disciplined tracking process turns performance data into better decisions instead of more noise.

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