Biotechnology Fund Class Fund Statistic Functions Standard Deviation

RYBOX Fund

USD 60.72 -0.32 -0.52%

The statistic functions view organizes Standard Deviation function and supporting indicators around BIOTECHNOLOGY FUND. The analysis highlights statistical functions describing dispersion and variability and frames technical signals with volatility and risk context.Enter Time Period and Deviations to execute this module.

Symbol

This analysis covers thirty-eight data points across the selected time horizon. Biotechnology Fund Class Standard Deviation measures the spread of BIOTECHNOLOGY FUND time series from expected value (the mean).

BIOTECHNOLOGY FUND Technical Analysis Modules

Most technical analysis of BIOTECHNOLOGY FUND 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 BIOTECHNOLOGY from various momentum indicators to cycle indicators. When you analyze BIOTECHNOLOGY 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

This section reviews NAV behavior, category positioning, and exposure stability over time. The current allocation is approximately 99.0% equities and 1.0% cash. It is classified under Health within the Rydex Funds family.

Methodology

Unless otherwise specified, data for Biotechnology Fund Class 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. Biotechnology Fund Class market data and reported NAV may reflect delayed updates. Data may be delayed depending on reporting sources and market conventions. Assumptions: Inputs are aggregated from public fund disclosures, holdings reports, and market data feeds and public institutions such as U.S. Securities and Exchange Commission (SEC) via EDGAR. Certain values may not reflect real-time changes. 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

Biotechnology Fund Class 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 March 4th, 2026

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Performance tracking around Biotechnology Fund Class 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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