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as 06-14-2024 4:00pm EST

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Digital Realty owns and operates over 300 data centers worldwide. It has nearly 40 million rentable square feet across five continents. Digital's offerings range from retail co-location, where an enterprise may rent a single cabinet and rely on Digital to provide all the accommodations, to "cold shells," where hyperscale cloud service providers can simply rent much, or all, of a barren, power-connected building. In recent years, Digital Realty has de-emphasized cold shells and now primarily provides higher-level service to tenants, which outsource their related IT needs to Digital. The company operates as a real estate investment trust.

More About Our DLR ML Model...

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

To train our stocks DLR 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 DLR 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 DLR 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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