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as 06-21-2024 4:00pm EST

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Stocks

Consumer Discretionary

Containers/Packaging

Nasdaq

Pactiv Evergreen Inc is engaged in the business of manufacturing and distributing fresh foodservice and food merchandising products and fresh beverage cartons. It operates in two segments: Foodservice, Food and Beverage Merchandising. These segments manufacture products such as food containers, drinkware, tableware, service ware, ready-to-eat food containers, clear rigid-display containers, trays for meat and poultry, molded fiber egg cartons, printed cartons, spouts & filling machines, and other products. It generates the majority of its revenue from Food and Beverage Merchandising. The company's geographical segments are the United States, the Rest of North America, and Others, of which the vast majority of its revenue comes from the United States.

More About Our PTVE ML Model...

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

To train our stocks PTVE 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 PTVE 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 PTVE 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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