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as 11-15-2024 4:00pm EST

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Stocks

Consumer Staples

Packaged Foods

Nasdaq

J.M. Smucker is a packaged food company that primarily sells through the US retail channel (78% of fiscal 2024 revenue came through its retail pet foods, coffee, and frozen handheld/spreads segments), with the remaining share consisting of Hostess and international (primarily Canada). Retail coffee is its largest category (33% of sales) with brands Folgers and Dunkin'. Pet foods (22% of sales) holds leading brands like Milk-Bone and Meow Mix. Of its remaining, approximately 22% comes from consumer foods, primarily peanut butter and jelly, through brands Jif and Smucker's. The company acquired Hostess Brands in fiscal 2024 to boost its snack and convenience store presence.

More About Our SJM ML Model...

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

To train our stocks SJM 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 SJM 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 SJM 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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