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as 11-21-2024 11:33am EST

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Stocks

Real Estate

Real Estate Investment Trusts

Nasdaq

Camden Property Trust is a real estate investment trust primarily engaged in the acquisition, management, and development of multifamily apartment communities across the United States. The company's real estate portfolio consists primarily of apartment properties throughout the Sun Belt. Houston, Dallas, Las Vegas, and Atlanta represent some of Camden's largest housing markets in terms of apartment units. The firm derives nearly all of its revenue from the leasing of properties to tenants through short-term agreements. Camden Property derives the majority of its revenue from the Washington D.C., Los Angeles, Houston, Atlanta, and southeastern Florida areas.

More About Our CPT ML Model...

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

To train our stocks CPT 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 CPT 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 CPT 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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