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as of 12-05-2025 3:44pm EST

$10.96
+$0.20
+1.86%
Stocks Health Care Medicinal Chemicals and Botanical Products Nasdaq

Viatris was formed in November 2020 through the combination of Upjohn, a wholly owned subsidiary of Pfizer that specialized in off-patent drugs, and Mylan, a global pharmaceutical manufacturer that focused on generic and specialty drugs. By joining forces, Viatris became one of the largest generic drug manufacturers in the world, servicing over 165 countries. Generics (commoditized and complex) and biosimilars make up roughly 40% of Viatris' total sales. The remaining 60% of sales are derived from its portfolio of legacy products, which includes Lipitor, Norvasc, Lyrica, and Viagra. While it covers more than 10 major therapeutic areas, Viatris has identified dermatology, ophthalmology, and gastroenterology as its three key areas of focus for future innovations.

Frequently Asked Questions

Learn more about our VTRS ML prediction model

What parameters are used to train the VTRS ML model?

Our stocks VTRS ML model is trained using historical data with over 25 parameters, including volume indicators, volatility indicators, momentum indicators, trend indicators, and other technical metrics.

How often is the VTRS ML model updated?

We update our ML model weekly or biweekly (depending on market capitalization) using TensorFlow, typically over the weekend to ensure the most current predictions.

Why might the model accuracy vary?

Our current data provider offers limited historical data, which can impact accuracy. As we continue to gather more data and add additional indicators, we expect the model's accuracy to improve over time.

How can I contribute data to improve accuracy?

We greatly appreciate contributions! Please contact us at info@finquota.com to discuss how you can help improve our models.

Are shorter timeframe predictions available?

Yes, we offer predictions for strategy purposes with shorter intervals including 1 minute, 2 minutes, 5 minutes, 15 minutes, and 30 minutes timeframes.

Should I use this for financial decisions?

Our ML model is designed for educational purposes only and should not be used as the sole basis for financial decisions. Always consult with a qualified financial advisor before making any investment decisions.

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