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as 06-21-2024 4:00pm EST

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Stocks

Consumer Discretionary

Hotels/Resorts

Nasdaq

Trip.com is the largest online travel agent in China and is positioned to benefit from the country's rising demand for higher-margin outbound travel as passport penetration is only 12% in China. The company generated about 78% of sales from accommodation reservations and transportation ticketing in 2020. The rest of revenue comes from package tours and corporate travel. Before the pandemic in 2019, the company generated 25% of revenue from international business, which is important to its margin expansion. Most of sales come from its online platform, but the company also maintains offline call centers. The competes in a crowded OTA industry in China, including Meituan, Alibaba-backed Fliggy, Tongcheng, and Qunar. The company was founded in 1999 and listed on the Nasdaq in December 2003.

More About Our TCOM ML Model...

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

To train our stocks TCOM 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 TCOM 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 TCOM 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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