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as 06-20-2024 4:00pm EST

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Stocks

Health Care

Biotechnology: Pharmaceutical Preparations

Nasdaq

Cassava Sciences Inc is a clinical-stage biotechnology company engaged in developing a scientific approach for the treatment and detection of Alzheimer's disease. Its therapeutic product candidate is called simufilam, and it is a novel treatment for Alzheimer's disease; and investigational diagnostic product candidate is called SavaDx, and it is a novel way to detect the presence of Alzheimer's disease from a small sample of blood, possibly years before the overt appearance of clinical symptoms. It is currently conducting two randomized placebo-controlled Phase 3 clinical trials of oral simufilam in patients with Alzheimer's disease dementia.

More About Our SAVA ML Model...

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

To train our stocks SAVA 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 SAVA 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 SAVA 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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