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as 11-14-2025 3:40pm EST

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Stocks

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Major Banks

Nasdaq

M&T Bank is a US regional bank with roughly $210 billion in assets as of June 30, 2025. Headquartered in Buffalo, New York, the bank's footprint is mostly concentrated in New England and the US Mid-Atlantic. M&T Bank boasts a community banking approach, and boasts over 900 branches in 13 states and Washington, D.C. Apart from retail and commercial banking, M&T Bank also has wealth management operations through Wilmington Trust and a partnership with LPL Financial, and a corporate trust businesses.

More About Our MTB ML Model...

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

To train our stocks MTB 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 MTB 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 MTB 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 info@finquota.com

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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