VNET Group DRC Stock Overlap Studies Double Exponential Moving Average

VNET Stock

USD 10.51 -0.06 -0.57%

The overlap studies module provides an execution environment for Double Exponential Moving Average study and related indicators on VNET Group. Signals here center on overlay studies that smooth price action and map bands alongside volatility and performance references.Please specify Time Period to run the technical study.

Symbol

Incorrect Input. Please change your parameters or increase the time horizon required for running this function. The output start index for this execution was zero with a total number of output elements of zero. The Double Exponential Moving Average indicator was developed by Patrick Mulloy. It consists of a single exponential moving average and a double exponential moving average. This indicator is more responsive to VNET Group DRC changes than the simple moving average.

VNET Group Technical Analysis Modules

Most technical analysis of VNET Group 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 VNET from various momentum indicators to cycle indicators. When you analyze VNET 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
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	Statistic Functions
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Stock Overview, Methodology & Data Sources

The stock is currently outperforming technology sectors.VNET Group, Inc., an investment holding company, provides hosting and related services in China. VNET Group, Inc. was founded in 1999 and is headquartered in Beijing, the Peoples Republic of China. Vnet operates under Information Technology Services classification in the United States and is traded on NASDAQ Exchange. It employs 3221 people. The profile for VNET Group integrates fundamentals, price behavior, and sector exposure. Price behavior may show elevated responsiveness to broader market cycles. VNET Group has a market cap of 2.83 B, P/E of 43.99, ROE of -6.58%.

Methodology

Unless otherwise specified, financial data for VNET Group DRC 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. VNET (USA Stocks:VNET) 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: Macroaxis analytics incorporate public filings and market reference sources and official disclosures from U.S. Securities and Exchange Commission (SEC) via EDGAR. Data harmonization may result in minor timing offsets. 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

VNET Group DRC is covered by 14 analysts. 7 analysts have submitted revenue and/or earnings estimates that may be incorporated into Macroaxis consensus inputs where available. Representative analyst firms may include HSBC Global Research, Wells Fargo Securities, Goldman Sachs, Guggenheim Securities, RBC Capital Markets, Citigroup, among others. Updates may occur throughout the day.

This content is curated and reviewed by:

Rifka Kats - 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 VNET Group 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, VNET Group's short interest history, or implied volatility extrapolated from VNET Group options trading.

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