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as 12-18-2024 3:37pm EST

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NexPoint Diversified Real Estate Trust is a publicly traded REIT focused on opportunistic real estate investments in the United States. Their portfolio includes diverse commercial properties and investments across various real estate sectors and capital structures. Revenue sources include rental income from office and retail properties, interest income from debt investments, dividend income from equity investments, and other ancillary income from tenants. The company operates primarily through its operating partnership and wholly owned subsidiaries.

More About Our NXDT ML Model...

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

To train our stocks NXDT 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 NXDT 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 NXDT 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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