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as of 12-15-2025 2:24pm EST

$52.39
+$1.32
+2.58%
Stocks Telecommunications Telecommunications Equipment Nasdaq

VEON Ltd is a United Arab Emirates-based digital operator providing connectivity and Internet services to corporations and individuals. The company offers mobile and fixed-line telecommunications services through a range of traditional and broadband mobile technologies. The company's reportable segments consist of the following five segments: Pakistan, Ukraine, Kazakhstan, Bangladesh, and Uzbekistan. It provides its services under the Beeline, Kyivstar, Banglalink, and Jazz brands. It generates the majority of its revenue from Pakistan.

Frequently Asked Questions

Learn more about our VEON ML prediction model

What parameters are used to train the VEON ML model?

Our stocks VEON ML model is trained using historical data with over 25 parameters, including volume indicators, volatility indicators, momentum indicators, trend indicators, and other technical metrics.

How often is the VEON ML model updated?

We update our ML model weekly or biweekly (depending on market capitalization) using TensorFlow, typically over the weekend to ensure the most current predictions.

Why might the model accuracy vary?

Our current data provider offers limited historical data, which can impact accuracy. As we continue to gather more data and add additional indicators, we expect the model's accuracy to improve over time.

How can I contribute data to improve accuracy?

We greatly appreciate contributions! Please contact us at info@finquota.com to discuss how you can help improve our models.

Are shorter timeframe predictions available?

Yes, we offer predictions for strategy purposes with shorter intervals including 1 minute, 2 minutes, 5 minutes, 15 minutes, and 30 minutes timeframes.

Should I use this for financial decisions?

Our ML model is designed for educational purposes only and should not be used as the sole basis for financial decisions. Always consult with a qualified financial advisor before making any investment decisions.

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