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as 12-20-2024 2:32pm EST

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Stocks

Finance

Savings Institutions

Nasdaq

BV Financial Inc is a federally-chartered savings and loan holding company engaged in offering traditional financial services to consumers and businesses. It offers savings, interest checking, money market, personal and business checking, non-interest checking, education savings, small business checking, business checking as well as certificates of deposit and IRA certificates of deposit. The Company's sources of revenue are derived from interest and dividends earned on loans and investment securities.

More About Our BVFL ML Model...

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

To train our stocks BVFL 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 BVFL 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 BVFL 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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