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as of 04-06-2026 3:56pm EST

$181.88
+$0.19
+0.10%
Stocks Real Estate Real Estate Investment Trusts Nasdaq

Digital Realty is one of the leading providers of cloud- and carrier-neutral data centers, offering colocation and interconnection services to hyperscalers and large businesses. Digital Realty operates 300 properties in 57 metropolitan areas across 31 countries, serving 5,000 customers. Renting physical space accounts for about 90% of Digital Realty's revenue. The firm enables hyperscalers and other clients to store servers, data, and networking equipment. The other 10% of revenue is generated primarily through interconnection services (8%) and other fee income (2%).

Frequently Asked Questions

Learn more about our DLR ML prediction model

What parameters are used to train the DLR ML model?

Our stocks DLR 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 DLR 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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