Fidelity Value Fund Statistic Functions Beta

FDVLX Fund

USD 14.11 -0.02 -0.14%

The statistic functions view organizes Beta function and supporting indicators around FIDELITY VALUE. The analysis highlights statistical functions describing dispersion and variability and frames technical signals with volatility and risk context.Please specify Time Period to run the technical study.

Symbol

This analysis covers thirty-seven data points across the selected time horizon. The Beta measures systematic risk based on how returns on Fidelity Value correlated with the market. If Beta is less than 0 FIDELITY VALUE generally moves in the opposite direction as compared to the market. If FIDELITY VALUE Beta is about zero movement of price series is uncorrelated with the movement of the benchmark. if Beta is between zero and one Fidelity Value is generally moves in the same direction as, but less than the movement of the market. For Beta = 1 movement of FIDELITY VALUE is generally in the same direction as the market. If Beta > 1 FIDELITY VALUE moves generally in the same direction as, but more than the movement of the benchmark.

FIDELITY VALUE Technical Analysis Modules

Most technical analysis of FIDELITY VALUE 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 FIDELITY from various momentum indicators to cycle indicators. When you analyze FIDELITY 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 11.0%.

Methodology

Unless otherwise specified, data for Fidelity Value Fund 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. Fidelity Value Fund market data and reported NAV may reflect delayed updates. Data may be delayed depending on reporting sources and market conventions. Assumptions: Information presented is compiled from public fund disclosures, holdings reports, and market data feeds and official institutions such as U.S. Securities and Exchange Commission (SEC) via EDGAR. Updates can be delayed depending on reporting conventions. 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

Fidelity Value Fund 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

Last reviewed on March 7th, 2026

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Market capitalization should still be reviewed beside revenue, debt, and cash-flow quality. Investors often get a better portfolio result when Fidelity Value Fund is reviewed as part of a larger theme rather than as an isolated holding. For Fidelity Value Fund, the theme workflow defines the thesis first, then optimizes which assets best express that view.

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