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as 06-02-2025 4:00pm EST

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Stocks

Real Estate

Real Estate Investment Trusts

Nasdaq

RLJ Lodging Trust is a real estate investment trust focused on premium-branded, rooms-oriented, high-margin, focused-service, and compact full-service hotels located within the heart of demand locations. Its hotels are geographically diverse and concentrated in urban markets providing multiple demand generators from business, leisure, and other travelers. Its hotels are under the Marriott, Hilton, and Hyatt brand names. The Hotel is a single reportable segment. Its hotel segment revenues are derived from the operation of hotel properties which includes room revenue by renting hotel rooms, food and beverage revenue from the sale of food and beverages, and other revenue from parking fees, resort fees, gift shop sales, and other guest service fees.

More About Our RLJ ML Model...

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

To train our stocks RLJ 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 RLJ 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 RLJ 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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