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as of 12-03-2025 3:41pm EST

$472.35
+$8.11
+1.75%
Stocks 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.

Frequently Asked Questions

Learn more about our ALNY ML prediction model

What parameters are used to train the ALNY ML model?

Our stocks ALNY 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 ALNY 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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