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as 06-21-2024 4:00pm EST

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Stocks

Consumer Discretionary

Movies/Entertainment

Nasdaq

Cinemark Holdings Inc is geographically diverse operators in the motion picture exhibition industry in the United States. The company operates in around 518 theatres and 5,847 screens in the United States and Latin America. The company generates revenue from filmed entertainment box office receipts and concession sales, with additional revenue from screen advertising, screen rental and other revenue streams, such as transactional fees, vendor marketing promotions, studio trailer placements, meeting rentals and electronic video games located in some of the theatres. Majority of Cinemark's theaters are located in midsize cities or suburbs of large cities.

More About Our CNK ML Model...

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

To train our stocks CNK 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 CNK 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 CNK 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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