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as of 12-12-2025 3:57pm EST

$9.22
$0.05
-0.54%
Stocks Technology Computer Software: Programming Data Processing Nasdaq

VNET started as AsiaCloud in 1999 and moved into the data center business, opening its first self-developed data center in 2010. The firm listed (as 21Vianet) on the Nasdaq in April 2011, subsequently changing its name to VNET Group in 2021. It originally focused on providing data center services such as colocation and cloud services to retail clients in China, but added hyperscale customers in 2019 and now counts large Chinese hyperscalers such as Alibaba Cloud, Tencent Cloud, and Huawei Cloud as customers. At the end of September 2025, it had 52,288 retail cabinets, with the majority in Beijing, Shanghai, and the Greater Bay area. It also had 783 MW of wholesale capacity in service, with a further 306 MW under construction and a further 705 MW held for future development.

Frequently Asked Questions

Learn more about our VNET ML prediction model

What parameters are used to train the VNET ML model?

Our stocks VNET ML model is trained using historical data with over 25 parameters, including volume indicators, volatility indicators, momentum indicators, trend indicators, and other technical metrics.

How often is the VNET ML model updated?

We update our ML model weekly or biweekly (depending on market capitalization) using TensorFlow, typically over the weekend to ensure the most current predictions.

Why might the model accuracy vary?

Our current data provider offers limited historical data, which can impact accuracy. As we continue to gather more data and add additional indicators, we expect the model's accuracy to improve over time.

How can I contribute data to improve accuracy?

We greatly appreciate contributions! Please contact us at info@finquota.com to discuss how you can help improve our models.

Are shorter timeframe predictions available?

Yes, we offer predictions for strategy purposes with shorter intervals including 1 minute, 2 minutes, 5 minutes, 15 minutes, and 30 minutes timeframes.

Should I use this for financial decisions?

Our ML model is designed for educational purposes only and should not be used as the sole basis for financial decisions. Always consult with a qualified financial advisor before making any investment decisions.

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