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as 06-14-2024 4:00pm EST

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Stocks

Consumer Staples

Packaged Foods

Nasdaq

Over the past 150-plus years, Campbell Soup has evolved into a leading packaged food manufacturer in North America, with a portfolio that extends beyond its iconic red-and-white labeled canned soup. In fiscal 2023, snacks accounted for half of its revenue (50%), followed by soup (29%), other simple meals (13%), and beverages (8%). Outside its namesake, its brands include Pepperidge Farm, Goldfish, Snyder's of Hanover, Swanson, Pacific Foods, Prego, Pace, V8, and recently acquired Rao's (closed in March 2024). Nearly 90% of its revenue results from the US and the remainder from Canada and Latin America.

More About Our CPB ML Model...

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

To train our stocks CPB 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 CPB 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 CPB 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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