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as of 11-28-2025 12:36pm EST

$21.55
+$0.09
+0.40%
Stocks Finance Commercial Banks Nasdaq

Despite its Spanish origins, Banco Bilbao Vizcaya Argentaria generates only around one-fourth of its profits in Spain. We expect that on a normalized basis, BBVA's market-leading Mexican bank should contribute half of its earnings, while its Turkish operation should account for another 15%. The balance of BBVA's earnings comes from smaller operations in South America. BBVA is overwhelmingly a retail and commercial bank, with corporate and investment banking forming a minor part of the overall business. BBVA also offers insurance and investment products through its banking networks.

Frequently Asked Questions

Learn more about our BBVA ML prediction model

What parameters are used to train the BBVA ML model?

Our stocks BBVA 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 BBVA 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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