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as 11-14-2024 3:31pm EST

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Cryo-Cell International Inc is engaged in cellular processing and cryogenic storage. The company is organized into three reportable segments namely cellular processing and cryogenic storage, with a focus on the collection and preservation of umbilical cord blood and tissue stem cells for family use and the manufacturing of PrepaCyte CB units segment, which is a processing technology used to process umbilical cord blood stem cells. The Public cord blood banking segment consists of cellular processing and cryogenic storage of umbilical cord blood stem cells for public use. The company generates maximum revenue from cellular processing and cryogenic storage and it derives revenue from processing and testing fees and storage segment.

More About Our CCEL ML Model...

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

To train our stocks CCEL 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 CCEL 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 CCEL 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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