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as 06-11-2024 2:34pm EST

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Stocks

Consumer Discretionary

Hotels/Resorts

Nasdaq

Travel+Leisure Co is a membership and leisure travel company. It provides hospitality services and travel products. The company operates in the segments of Vacation Ownership, which is the key revenue-driving segment, develops, markets and sells vacation ownership interests (VOIs) to individual consumers, provides consumer financing in connection with the sale of VOIs, and provides property management services at resorts and Travel and Membership which operates a variety of travel businesses, including three vacation exchange brands, a home exchange network, travel technology platforms, travel memberships, and direct-to-consumer rentals. The majority of the revenue is earned from the United States.

More About Our TNL ML Model...

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

To train our stocks TNL 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 TNL 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 TNL 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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