Biotechnology Fund Class Fund Statistic Functions Beta

RYCFX Fund  USD 42.34  -0.22  -0.52%   
The statistic functions module provides an execution environment for Beta function and related indicators on BIOTECHNOLOGY FUND. Signals here center on statistical functions describing dispersion and variability alongside volatility and performance references.Please specify Time Period to run the technical study.

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 Biotechnology Fund Class correlated with the market. If Beta is less than 0 BIOTECHNOLOGY FUND generally moves in the opposite direction as compared to the market. If BIOTECHNOLOGY FUND Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Biotechnology Fund Class is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of BIOTECHNOLOGY FUND is generally in the same direction as the market. If Beta > 1 BIOTECHNOLOGY FUND moves generally in the same direction as, but more than the movement of the benchmark.

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.

Mutual Fund Overview, Methodology & Data Sources

Performance context is typically read against category peers and stated objectives. The five-year return stands at 3.0%.

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:

Gabriel Shpitalnik - Member of Macroaxis Editorial Board

Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards BIOTECHNOLOGY FUND in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, BIOTECHNOLOGY FUND's short interest history, or implied volatility extrapolated from BIOTECHNOLOGY FUND options trading.

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