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as 12-24-2024 4:00pm EST

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Stocks

Consumer Discretionary

Restaurants

Nasdaq

Yum Brands is a US-based restaurant operator featuring a portfolio of four brands: KFC (29,900 global units at year-end 2023), Pizza Hut (19,866 units), Taco Bell (8,564 units), and The Habit Burger Grill (381 units). With $64 billion in 2023 systemwide sales, the firm is the second-largest restaurant company in the world behind McDonald's ($130 billion), ahead of Restaurant Brands International ($43 billion) and Starbucks ($29 billion). Yum is 98% franchised, with the largest franchisee, wide-moat Yum China, spun out in 2016, after which Yum China agreed to pay 3% royalties to Yum Brands in perpetuity. Yum is the newest evolution of Tricon, formerly a division of PepsiCo, and generates the bulk of its revenue from franchise royalties and marketing contributions.

More About Our YUM ML Model...

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

To train our stocks YUM 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 YUM 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 YUM 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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