James Balanced Golden Fund Pattern Recognition Thrusting Pattern

GLRBX Fund  USD 23.96  -0.10  -0.42%   
Use the pattern recognition workspace to apply Thrusting Pattern recognition and other studies to James Balanced. The analysis highlights pattern recognition signals tied to momentum and continuation and frames technical signals with volatility and risk context.

Recognition
The function did not generate any output. Please change time horizon or modify your input parameters. This analysis covers fifty data points across the selected time horizon. The function did not return any valid pattern recognition events for the selected time horizon. The Thrusting Pattern describes James Balanced Golden bearish continuation trend.

James Balanced Technical Analysis Modules

Most technical analysis of James Balanced 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 James from various momentum indicators to cycle indicators. When you analyze James 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

This section reviews NAV behavior, category positioning, and exposure stability over time. The current allocation is approximately 42.0% equities, 1.0% bonds and 6.0% cash. It is classified under Allocation--30% to 50% Equity within the James Advantage family.

Methodology

Unless otherwise specified, data for James Balanced Golden 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. James Balanced Golden 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

James Balanced Golden 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:

Vlad Skutelnik - Macroaxis Contributor
Last reviewed on March 14th, 2026

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