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as 06-20-2024 4:00pm EST

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Stocks

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Real Estate Investment Trusts

Nasdaq

Ventas owns a diversified healthcare portfolio of over 1,300 in-place properties spread across the senior housing, medical office, hospital, life science, and skilled nursing/post-acute care. The portfolio includes almost 100 properties in Canada and the United Kingdom as the company looks for additional investment opportunities in countries with mature healthcare systems that operate similarly to the United States. The firm also owns mortgages and other loans, contributing about 1% of net operating income.

More About Our VTR ML Model...

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

To train our stocks VTR 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 VTR 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 VTR 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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