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as 06-20-2024 4:00pm EST

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Stocks

Technology

Computer Software: Programming Data Processing

Nasdaq

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. It has aggressively raised capital over the past four years for expansion. 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. GDS listed on the Nasdaq in 2016 and completed a secondary listing in Hong Kong in 2020.

More About Our GDS ML Model...

What kind of parameters do you use to train GDS stocks ML model?

To train our stocks GDS ML model, we use historical data with over 25 parameters, including volume indicators, volatility indicators, momentum indicators, trend indicators, and other metrics.

How often do you update GDS ML model?

We update our ML model either weekly or biweekly, depending on the market capitalization of the stocks, using TensorFlow, typically over the weekend.

Why is the accuracy of your GDS model low?

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.

How can I provide and share more data with you to increase your ML model accuracy?

We would greatly appreciate your contribution. Please send an email to [email protected]

Do you offer an ML model for shorter time periods, such as 5 minutes or 15 minutes?

Yes, we offer it for strategy purposes only, with intervals: 1 minute, 2 minutes, 5 minutes, 15 minutes, and 30 minutes etc.

Can I rely on your ML model to make financial decisions regarding buying or selling stocks, or is it only intended for learning purposes?

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.

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