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as 11-22-2024 3:31pm EST

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Stocks

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Containers/Packaging

Nasdaq

Ball is the world's largest metal can manufacturer with market share over 40% in its three main regions (North America, Europe, and South America). The company is focused on increasing capacity amid a wave of new developed-market demand, while also investing in faster-growing emerging-market economies. Ball maintains a small presence in the U.S. defense industry through its aerospace segment. Ball spun-off its glass jar business in 1993 and is now owned by Newell. The company reports three segments—beverage packaging, North and Central America (43% of 2023 revenue), beverage packaging, EMEA (24%), beverage packaging, South America (14%)—and it generated $14 billion in revenue in 2023.

More About Our BALL ML Model...

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

To train our stocks BALL 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 BALL 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 BALL 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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