Global X Active Etf Statistic Functions Linear Regression Slope

HAF Etf  CAD 6.88  -0.04  -0.58%   
The statistic functions module provides an execution environment for Linear Regression Slope function and related indicators on Global X. Signals here center on statistical functions describing dispersion and variability alongside volatility and performance references.Please specify Time Period to run the technical study.

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 Slope is the rate of change in Global X Active price series over its benchmark or peer price series.

Global X Technical Analysis Modules

Most technical analysis of Global X 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.

Etf Overview, Methodology & Data Sources

Creation and redemption activity helps align market price with reported NAV over time. The current allocation is approximately 26.0% bonds. Annual holdings turnover is 79.8%. It is classified under Multi-Sector Fixed Income within the Horizons ETFs Management (Canada) Inc family.

Methodology

Unless otherwise specified, data for Global X Active 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. Global X Active market data and reported NAV may reflect delayed updates. Data may be delayed depending on reporting sources and market conventions. Indicative intraday values (IIV), where published, may provide additional context for premium or discount behavior relative to reported NAV. Assumptions: We use public fund disclosures, holdings reports, and market data feeds with disclosures published by U.S. Securities and Exchange Commission (SEC) via EDGAR as reference inputs. Data may be normalized and can be delayed. 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

Global X Active 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:

Raphi Shpitalnik - Junior Member of Macroaxis Editorial Board

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Other Information on Investing in Global Etf

Global X financial ratios help frame valuation context across profits, cash flow, and enterprise value. They help compare Global across measures in a consistent way.