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as 12-17-2024 4:00pm EST

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Stocks

Technology

Computer Software: Prepackaged Software

Nasdaq

Bandwidth Inc is cloud-based communications platform-as-a-service (CPaaS) provider that enables enterprises to create, scale and operate voice or messaging communications services across any mobile application or connected device. Company earns revenue through the sale of communications services offered through Application Programming Interface software solutions to large as well as small and medium-sized business, customers and is generally derived from usage and service fees. Usage revenue includes voice communication (driven by inbound and outbound minutes and toll-free minutes) and messaging communication (driven by the number of messages) that traverse the platform and network. Service fees include the provision and management of phone numbers and emergency services access.

More About Our BAND ML Model...

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

To train our stocks BAND 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 BAND 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 BAND 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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