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as 11-22-2024 3:30pm EST

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Stocks

Consumer Discretionary

Business Services

Nasdaq

Accolade Inc offers technology-enabled solutions that help people understand, navigate, and utilize the healthcare system and their workplace benefits. The company's platform combines open, cloud-based intelligent technology with multimodal support from a team of Accolade Care Advocates and clinicians, including registered nurses, physician medical directors, pharmacists, primary care physicians, and other professionals to provide advocacy, medical opinion, and virtual primary care services.

More About Our ACCD ML Model...

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

To train our stocks ACCD 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 ACCD 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 ACCD 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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