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as 12-20-2024 4:00pm EST

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Stocks

Consumer Staples

Beverages (Production/Distribution)

Nasdaq

Coca-Cola Femsa, a subsidiary of Femsa, is the largest franchise bottler of wide-moat Coca-Cola in volume terms. The company purchases beverage concentrates and syrup from Coca-Cola, which it then processes and packages for distribution through modern trade, traditional trade and the on-premises channel. Mexico and Brazil make up 80% of total sales, with the rest from other Central and South American countries, including Panama, Guatemala, Uruguay, and Argentina. Parent Femsa and Coca-Cola hold 47% and 28% of economic interests in Coca-Cola Femsa, through nonpublicly traded A and D shares, respectively, while controlling 56% and 33% of the respective voting power.

More About Our KOF ML Model...

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

To train our stocks KOF 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 KOF 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 KOF 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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