as 11-15-2024 4:00pm EST
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.
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.
We update our ML model either weekly or biweekly, depending on the market capitalization of the stocks, using TensorFlow, typically over the weekend.
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.
We would greatly appreciate your contribution. Please send an email to [email protected]
Yes, we offer it for strategy purposes only, with intervals: 1 minute, 2 minutes, 5 minutes, 15 minutes, and 30 minutes etc.
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.
Our NICE ML model is developed exclusively for educational purposes. Any information presented on this page regarding the '"NICE Forecast & Prediction for November 17, 2024 NICE Ltd" should not be considered as financial advice or as a recommendation to buy or sell stocks. It is provided strictly for educational purposes. Investing in stocks involves significant risks, and decisions should be made only after careful consideration and consultation with a qualified financial advisor.