Guggenheim Styleplus Fund Statistic Functions Beta

GILIX Fund  USD 21.85  -0.12  -0.55%   
This statistic functions tool runs Beta function and companion studies for GUGGENHEIM STYLEPLUS. It emphasizes statistical functions describing dispersion and variability while keeping volatility, risk, and performance context in view.Provide Time Period to run this model.

The output start index for this execution was thirty-six with a total number of output elements of twenty-five. The Beta measures systematic risk based on how returns on Guggenheim Styleplus correlated with the market. If Beta is less than 0 GUGGENHEIM STYLEPLUS generally moves in the opposite direction as compared to the market. If GUGGENHEIM STYLEPLUS Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Guggenheim Styleplus is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of GUGGENHEIM STYLEPLUS is generally in the same direction as the market. If Beta > 1 GUGGENHEIM STYLEPLUS moves generally in the same direction as, but more than the movement of the benchmark.

GUGGENHEIM STYLEPLUS Technical Analysis Modules

Most technical analysis of GUGGENHEIM STYLEPLUS 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 GUGGENHEIM from various momentum indicators to cycle indicators. When you analyze GUGGENHEIM 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

Liquidity and pricing cadence can influence observed volatility and execution context. Lower trading activity may introduce occasional variability in execution conditions. The five-year return stands at 12.0%.

Methodology

Unless otherwise specified, data for Guggenheim Styleplus 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. Guggenheim Styleplus market data and reported NAV may reflect delayed updates. Data may be delayed depending on reporting sources and market conventions. Assumptions: Information for Guggenheim Styleplus is compiled from public fund disclosures, holdings reports, and market data feeds and official sources including U.S. Securities and Exchange Commission (SEC) via EDGAR. Reporting latency may occur in some cases. 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

Guggenheim Styleplus 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

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Tracking GUGGENHEIM STYLEPLUS 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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