Alpha Metallurgical Resources Stock Statistic Functions Beta

AMR Stock

USD 184.81 4.01 2.22%

This statistic functions tool runs Beta function and companion studies for Alpha Metallurgical. The focus on statistical functions describing dispersion and variability helps organize trend, volatility, and risk context for Alpha Metallurgical.Provide Time Period to start the analysis.

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

Alpha Metallurgical Technical Analysis Modules

Most technical analysis of Alpha Metallurgical 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 Alpha from various momentum indicators to cycle indicators. When you analyze Alpha 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

About Alpha Metallurgical Resources Inc

Alpha Metallurgical Resources, Inc., a mining company, produces, processes, and sells met and thermal coal in Virginia and West Virginia. Alpha Metallurgical Resources, Inc. was incorporated in 2016 and is headquartered in Bristol, Tennessee. Alpha Metallurgical operates under Coking Coal classification in the United States and is traded on New York Stock Exchange. It employs 3620 people. Market structure and macro sensitivity help explain how Alpha Metallurgical behaves across regimes. Cycle exposure remains aligned with broader market trends. Alpha Metallurgical has market cap of 2.32 B, P/E of 2.1, ROE of -3.86%.

Methodology

Unless otherwise specified, financial data for Alpha Metallurgical Resources is derived from periodic company reporting (annual and quarterly where available). Asset-level metrics are computed daily by Macroaxis LLC and refreshed regularly based on asset type. Alpha (USA Stocks:AMR) prices are typically delayed by approximately 20 minutes from primary exchanges for listed equities. Data may be delayed depending on reporting sources and market conventions. Assumptions: Inputs rely on public filings and market reference sources and institutional disclosures from U.S. Securities and Exchange Commission (SEC) via EDGAR. Publication cadence can introduce timing differences. 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.

Analyst Sources

Alpha Metallurgical Resources is covered by 3 analysts. 1 analyst has submitted revenue and/or earnings estimates that may be incorporated into Macroaxis consensus inputs where available. Representative analyst firms may include Bernstein Research, Deutsche Bank, Morgan Stanley, BMO Capital Markets, Guggenheim Securities, among others. Updates may occur throughout the day.

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Tracking Alpha Metallurgical 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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