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as 06-14-2024 4:00pm EST

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COPT Defense Properties is a real estate investment trust that acquires, manages, and leases office and data center properties throughout the U.S. The majority of the company's real estate portfolio is composed of office buildings in the Baltimore-Washington Corridor and Northern Virginia area. COPT derives nearly all of its income in the form of rental revenue from tenants. Most of the company's revenue comes from the leasing of properties to U.S. Government agencies and its contractors in the national security, defense, and IT sectors, such as Northrop Grumman and Boeing. Regional offices in urban submarkets make also make up a sizable percentage of COPT's total square footage.

More About Our CDP ML Model...

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

To train our stocks CDP 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 CDP 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 CDP 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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