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as 11-15-2024 4:00pm EST

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Nasdaq

Invitation Homes owns a portfolio of nearly 85,000 single-family rental homes. The company focuses on owning homes in the starter and move-up segments of the housing market with an average sale price around $350,000 and generally less than 1,800 square feet. The portfolio is spread across 16 target markets that feature high employment and household formation growth with almost 70% of the portfolio in the Western U.S. and Florida; 15 of the 16 markets featuring average rents lower than homeownership costs.

More About Our INVH ML Model...

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

To train our stocks INVH 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 INVH 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 INVH 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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