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as 12-20-2024 4:00pm EST

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Health Care

Biotechnology: Pharmaceutical Preparations

Nasdaq

Alnylam Pharmaceuticals is a leader in the study of RNA interference (RNAi) therapeutics. RNAi is a naturally occurring biological pathway within cells for sequence-specific silencing and regulation of gene expression. Alnylam has five drugs on the market: Onpattro and Amvuttra for hATTR amyloidosis, Givlaari for acute hepatic porphyria, Oxlumo for primary hyperoxaluria type 1, and Leqvio for hypercholesterolemia. It also has several clinical programs across various therapeutic areas: genetic medicines; cardio-metabolic diseases; hepatic infectious diseases, and CNS/ocular diseases. Upfront fees from research partnerships have boosted Alnylam's cash levels, and the company stands to see additional milestones and royalties from drugs commercialized under collaboration partnerships.

More About Our ALNY ML Model...

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

To train our stocks ALNY 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 ALNY 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 ALNY 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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