as of 12-17-2025 3:53pm EST
GDS Holdings started as an IT service provider in 2001 then moved to the data center business with its first self-developed data center opening in 2010. The company now develops and operates data centers in China and also builds, operates and transfers data centers for other clients. It offers colocation and managed services and mainly targets hyperscale cloud service customers who take large areas of its data centers or even whole data centers under long-term contracts. Its data centers are located predominantly in and around the Tier 1 cities in China and it has also started an expanding into Southeast Asia via the now 38% owned DayOne. GDS listed on the Nasdaq in 2016 and completed a secondary listing in Hong Kong in 2020.
Learn more about our GDS ML prediction model
Our stocks GDS ML model is trained using historical data with over 25 parameters, including volume indicators, volatility indicators, momentum indicators, trend indicators, and other technical metrics.
We update our ML model weekly or biweekly (depending on market capitalization) using TensorFlow, typically over the weekend to ensure the most current predictions.
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.
We greatly appreciate contributions! Please contact us at info@finquota.com to discuss how you can help improve our models.
Yes, we offer predictions for strategy purposes with shorter intervals including 1 minute, 2 minutes, 5 minutes, 15 minutes, and 30 minutes timeframes.
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.
Our GDS ML model is developed exclusively for educational purposes. Any information presented on this page regarding the '"GDS Forecast & Prediction for December 18, 2025 GDS Holdings Limited ADS" 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.