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as 06-20-2024 4:00pm EST

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Stocks

Real Estate

Real Estate Investment Trusts

Nasdaq

Netstreit Corp is structured as an umbrella partnership real estate investment trust. The company acquires, owns, and manages single-tenant, retail commercial real estate subject to long-term net leases with high-credit quality tenants across the United States. It focuses on tenants in industries where a physical location is critical to the generation of sales and profits, with a focus on necessity goods and essential services in the retail sector, including home improvement, auto parts, drug stores and pharmacies, general retail, grocers, convenience stores, discount stores, and quick-service restaurants.

More About Our NTST ML Model...

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

To train our stocks NTST 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 NTST 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 NTST 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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