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as 11-15-2024 4:00pm EST

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Stocks

Health Care

Medical/Dental Instruments

Nasdaq

Repligen, headquartered in Waltham, Massachusetts, is a global life sciences company that develops and sells bioprocessing equipment and supplies used in the manufacturing of biologic drugs, including monoclonal antibodies, recombinant proteins, vaccines, and cell and gene therapies. Its customers include biopharmaceutical companies, contract development and manufacturing organizations, or CDMOs, and other life science companies. It sells four main product categories: filtration (including fluid management) is the largest category and was 54% of 2023 revenue, while chromatography, proteins, and process analytics were 20%, 16%, and 9%, respectively. Customers in North America, Europe, and Asia Pacific contributed 44%, 37%, and 19% of revenue, respectively.

More About Our RGEN ML Model...

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

To train our stocks RGEN 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 RGEN 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 RGEN 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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