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as 11-22-2024 9:40am EST

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Consumer Discretionary

Advertising

Nasdaq

AirNet Technology Inc provides in-flight solutions to connectivity, entertainment, and digital multimedia in China. It offers Internet connections through a network of satellites and land-based beacons, provides airline travelers with interactive entertainment, and breaking news, and furnishes corporate clients with advertisements tailored to the perceptions of the travelers. The revenues are mainly derived from selling advertising time slots on the companies advertising networks and cryptocurrency mining.

More About Our ANTE ML Model...

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

To train our stocks ANTE 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 ANTE 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 ANTE 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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