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NICE

NICE Ltd

as 06-20-2024 10:34am EST

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Stocks

Technology

Computer Software: Prepackaged Software

Nasdaq

Nice is an enterprise software company that serves the customer engagement and financial crime and compliance markets. The company provides data analytics-based solutions through both a cloud platform and on-premises infrastructure. Within customer engagement, Nice's CXone platform delivers solutions focused on contact center software and workforce engagement management, or WEM. Contact center offerings include solutions for digital self-service, customer journey and experience optimization, and compliance. WEM products optimize call center efficiency, leveraging data and AI analytics for call volume forecasting and agent scheduling. Within financial crime and compliance, Nice offers risk and investigation management, fraud prevention, anti-money laundering, and compliance solutions.

More About Our NICE ML Model...

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

To train our stocks NICE 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 NICE 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 NICE 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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