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as 06-21-2024 4:00pm EST

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Fulton Financial is a U.S.-based financial services holding company that operates in five states: Pennsylvania, Delaware, Maryland, New Jersey, and Virginia. It offers a range of consumer and commercial banking products and services, such as checking and savings deposit products and loan products. It offers consumer and commercial banking products and services, as well as wealth management products and services. The bank derives its revenue from non-interest income, led by its Wealth Management division.

More About Our FULT ML Model...

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

To train our stocks FULT 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 FULT 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 FULT 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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