Amazon (Germany) Statistic Functions Linear Regression Slope

AMZ Stock

EUR 182.18 -2.72 -1.47%

The statistic functions module provides an execution environment for Linear Regression Slope function and related indicators on Amazon. It emphasizes statistical functions describing dispersion and variability while keeping volatility, risk, and performance context in view.Please specify Time Period to run this model.

Symbol

The output start index for this execution was thirty-five with a total number of output elements of twenty-six. The Linear Regression Slope is the rate of change in Amazon Inc price series over its benchmark or peer price series.

Amazon Technical Analysis Modules

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

Stock Overview, Methodology & Data Sources

Amazon is an entity of Germany traded as a Stock on the Munich Exchange exchange. The stock overview for Amazon summarizes business drivers, financial profile, and market behavior. The company is positioned within Diversified Metals & Mining, Materials. Current metrics include P/B of 5.48. Amazon has a market cap of 1.55 T.

Methodology

Unless otherwise specified, financial data for Amazon Inc 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. Amazon (DE:AMZ) 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: We primarily rely on public filings and market reference sources, 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.

Analyst Sources

Amazon Inc may have analyst coverage included in Macroaxis-derived consensus inputs when available. Updates may occur throughout the day.

This content is curated and reviewed by:

Raphi Shpitalnik - Junior 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 Amazon 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, Amazon's short interest history, or implied volatility extrapolated from Amazon options trading.

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