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as 11-22-2024 4:00pm EST

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Avanos Medical Inc is a United States-based company that develops and sells medical devices and related services globally. Its operating and reportable segment provides medical device products to healthcare providers and patients. The company has now changed two franchises: has combined Chronic Care and Pain Management franchises into a single commercial organization focused on the Digestive Health and Pain Management and Recovery product categories that generate its revenue from its Chronic Care franchise and in North America.

More About Our AVNS ML Model...

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

To train our stocks AVNS 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 AVNS 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 AVNS 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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