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as 06-13-2024 4:00pm EST

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Stocks

Health Care

Medical/Nursing Services

Nasdaq

InnovAge Holding Corp is a healthcare delivery platform by several participants focused on providing all-inclusive, capitated care to high-cost, dual-eligible seniors. Its patient-centered care delivery approach improves the quality of care while keeping them in their homes and reducing over-utilization of high-cost care settings such as hospitals and nursing homes. The company's segment includes PACE and others. It generates maximum revenue from the PACE segment.

More About Our INNV ML Model...

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

To train our stocks INNV 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 INNV 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 INNV 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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