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as 06-21-2024 4:00pm EST

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Stocks

Consumer Staples

Beverages (Production/Distribution)

Nasdaq

Anheuser-Busch InBev is the largest brewer in the world and one of the world's top five consumer product companies, as measured by EBITDA. The company's portfolio contains six of the top 10 beer brands by volume, according to Euromonitor, and we estimate it distributes 23 brands with retail sales over $1 billion. AB InBev was created by the 2008 merger of Belgium-based InBev and US-based Anheuser-Busch. The firm holds a 62% economic interest in Ambev and in 2016 it acquired SABMiller.

More About Our BUD ML Model...

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

To train our stocks BUD 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 BUD 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 BUD 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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