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as 06-21-2024 4:00pm EST

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Krispy Kreme Inc is a sweet treat brands company. The company's Original Glazed doughnut is recognized for its hot-off-the-line, melt-in- your-mouth experience. It operates through its network of fresh Doughnut Shops, partnerships with retailers, and a growing ecommerce and delivery business. The company conducts its business through the following three reported segments namely U.S., includes all operations in the U.S. and Canada, Insomnia Cookies shops, and the Branded Sweet Treat Line; International includes operations in the U.K., Ireland, Australia, New Zealand, and Mexico; and Market Development includes franchise operations across the globe, as well as operations in Japan. It derives maximum revenue from U.S. Segment.

More About Our DNUT ML Model...

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

To train our stocks DNUT 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 DNUT 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 DNUT 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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