Thornburg International Growth Fund Statistic Functions Linear Regression

TINGX Fund

USD 25.21 -0.24 -0.94%

The statistic functions module provides an execution environment for Linear Regression function and related indicators on Thornburg International. Signals here center on statistical functions describing dispersion and variability alongside volatility and performance references.Please specify Time Period to run the technical study.

Symbol

The output start index for this execution was thirty-five with a total number of output elements of twenty-six. The Linear Regression model generates relationship between price series of Thornburg International and its peer or benchmark and helps predict Thornburg International future price from its past values.

Thornburg International Technical Analysis Modules

Most technical analysis of Thornburg International 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 Thornburg from various momentum indicators to cycle indicators. When you analyze Thornburg 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

Performance context is typically read against category peers and stated objectives. The five-year return stands at -1.0%.

Methodology

Unless otherwise specified, data for Thornburg International Growth 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. Thornburg International Growth market data and reported NAV may reflect delayed updates. Data may be delayed depending on reporting sources and market conventions. 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

Thornburg International Growth 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:

Rifka Kats - Member of Macroaxis Editorial Board

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Tracking Thornburg International 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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