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as 12-20-2024 4:00pm EST

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Stocks

Health Care

Biotechnology: Pharmaceutical Preparations

Nasdaq

Arvinas Inc is a United States-based biopharmaceutical company focused on improving the lives of patients suffering from debilitating and life-threatening diseases through the discovery, development and commercialization of therapies that degrade disease-causing proteins.. The company's proprietary Proteolysis-Targeting Chimera (PROTAC), work by inducing the cell's own ubiquitin-proteasome system to target, degrade and remove disease-causing proteins. The group's product candidates are bavdegalutamide, ARV-471 and ARV-766.

More About Our ARVN ML Model...

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

To train our stocks ARVN 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 ARVN 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 ARVN 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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