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as 12-18-2024 4:00pm EST

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Stocks

Health Care

Biotechnology: Pharmaceutical Preparations

Nasdaq

Founded in 2010 in Beijing and having listed on the Hong Kong exchange in 2018, BeiGene is a commercial-stage biotechnology company with global sales. It focuses on oncology therapeutics and differentiates itself from other companies with a contract research organization-free, or CRO-free strategy. BeiGene runs global clinical trials with its own team. As of 2023, its core drug is Brukinsa, a small molecule drug for various blood cancers that makes up more than 50% of BeiGene's revenue.

More About Our BGNE ML Model...

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

To train our stocks BGNE 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 BGNE 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 BGNE 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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