as 11-21-2024 4:00pm EST
VNET started as AsiaCloud in 1999 and moved to the data center business with its first self-developed data center opening 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 March 2024, it had 48,503 self-built retail cabinets with the majority in Beijing, Shanghai, and the Greater Bay area. It also had 332 MW of wholesale capacity in service with a further 139 MW under construction and a further 557 MW held for future development.
To train our stocks VNET ML model, we use historical data with over 25 parameters, including volume indicators, volatility indicators, momentum indicators, trend indicators, and other metrics.
We update our ML model either weekly or biweekly, depending on the market capitalization of the stocks, using TensorFlow, typically over the weekend.
Unfortunately, our current data provider offers limited historical data, which impacts the accuracy of our ML model. However, as we continue to gather more data over time and add more indicators, we expect the accuracy of our model to improve.
We would greatly appreciate your contribution. Please send an email to [email protected]
Yes, we offer it for strategy purposes only, with intervals: 1 minute, 2 minutes, 5 minutes, 15 minutes, and 30 minutes etc.
Our ML model is primarily designed for educational purposes and is not intended to provide financial advice. We strongly recommend consulting with a financial advisor before making any buying or selling decisions.
Our VNET ML model is developed exclusively for educational purposes. Any information presented on this page regarding the '"VNET Forecast & Prediction for November 22, 2024 VNET Group Inc." should not be considered as financial advice or as a recommendation to buy or sell stocks. It is provided strictly for educational purposes. Investing in stocks involves significant risks, and decisions should be made only after careful consideration and consultation with a qualified financial advisor.