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as 11-21-2024 11:35am EST

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Stocks

Health Care

Medical Specialities

Nasdaq

Humana is one of the largest private health insurers in the us with a focus on administering Medicare Advantage plans. The firm has built a niche specializing in government-sponsored programs, with nearly all its medical membership stemming from individual and group Medicare Advantage, Medicaid, and the military's Tricare program. The firm is also a leader in stand-alone prescription drug plans for seniors enrolled in traditional fee-for-service Medicare. Beyond medical insurance, the company provides other healthcare services, including primary-care services, at-home services, and pharmacy benefit management.

More About Our HUM ML Model...

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

To train our stocks HUM 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 HUM 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 HUM 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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