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as 06-13-2024 4:00pm EST

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Founded in 1978, Banco Santander Chile is part of the Santander group and majority controlled by Santander Spain. Banco Santander is the largest bank in Chile by loans and the second largest by deposits. The bank generates most of its net interest income (roughly 65% of total revenue) from its mortgage, unsecured consumer credit lines, and commercial loans. Banco Santander's commercial loan business is more focused on small- to medium-sized companies, with firms generating more than CLP 10,000 million in revenue only making up around 5% of outstanding loans. Outside of lending, Banco Santander is the largest card issuer in the country with around 25% of the market and benefits from a long-term strategic partnership with the largest airline in the country LATAM Chile.

More About Our BSAC ML Model...

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

To train our stocks BSAC 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 BSAC 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 BSAC 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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