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New York Mortgage Trust Inc is a real estate investment trust for federal income tax purposes, in the business of acquiring, investing in, financing and managing mortgage-related and residential housing-related assets. The company's investment portfolio consists of Structured multi-family property investments such as multi-family CMBS an preferred equity in, and mezzanine loans to owners of multi-family properties. Distressed residential assets such as residential mortgage loans sourced from distressed markets and non-Agency RMBS. Second mortgages, Agency RMBS, and certain other mortgage-related and residential housing-related assets.

More About Our NYMTL ML Model...

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

To train our stocks NYMTL 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 NYMTL 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 NYMTL 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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