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as 07-05-2024 12:31pm EST

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Stocks

Consumer Discretionary

Professional Services

Nasdaq

Cross Country Healthcare Inc is a provider of total talent management services, including strategic workforce solutions, contingent staffing, permanent placement, and consultative services for healthcare customers. The company operates in two business segments: the nurse and allied staffing segment, which generates a vast majority of revenue, offers temporary and permanent placements of travel and local nurses and allied professionals, and other outsourcing services.: the Physician Staffing segment provides licensed practitioners across a broad array of specialties, as well as certified registered nurse anesthetists (CRNAs), nurse practitioners (NPs), and physician assistants (PAs) on temporary assignments. The company earns majority of its revenue from the United States.

More About Our CCRN ML Model...

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

To train our stocks CCRN 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 CCRN 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 CCRN 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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