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as 12-18-2024 4:00pm EST

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Stocks

Consumer Staples

Meat/Poultry/Fish

Nasdaq

Tyson Foods is a protein-focused food producer, selling raw chicken, beef, pork, and prepared foods. Chicken and beef are its two largest segments, each comprising about one-third of US sales. Prepared foods constitute roughly 20% of sales and include brands like Tyson, Jimmy Dean, Hillshire Farm, Ball Park, and Sara Lee. However, most of these are in product categories rife with competition where Tyson does not have a massive market share lead. Tyson sells some products overseas, but the international segment accounts for just 5% of total revenue. The company is an active acquirer, with more recent years' purchases focused on international and food-service markets.

More About Our TSN ML Model...

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

To train our stocks TSN 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 TSN 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 TSN 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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