Us Small Cap Fund Statistic Functions Beta

DFSVX Fund

USD 53.62 -0.80 -1.47%

The statistic functions view organizes Beta function and supporting indicators around US SMALL. Signals here center on statistical functions describing dispersion and variability alongside volatility and performance references.Select Time Period to run the technical study.

Symbol

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

US SMALL Technical Analysis Modules

Most technical analysis of US SMALL 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 DFSVX from various momentum indicators to cycle indicators. When you analyze DFSVX 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

Downside history frames risk tolerance and stress-period behavior. Downside movements have historically remained relatively contained. The five-year return stands at 12.0%.

Methodology

Unless otherwise specified, data for Us Small Cap 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. Us Small Cap market data and reported NAV may reflect delayed updates. Data may be delayed depending on reporting sources and market conventions. Assumptions: We primarily rely on public fund disclosures, holdings reports, and market data feeds, including disclosures published by U.S. Securities and Exchange Commission (SEC) via EDGAR. Data is normalized for analytical consistency across reporting formats. 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

Us Small Cap 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:

Ellen Johnson - Member of Macroaxis Editorial Board

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Tracking US SMALL 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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