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as 07-26-2024 4:00pm EST

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Stocks

Utilities

Electric Utilities: Central

Nasdaq

American Electric Power is one of the largest regulated utilities in the United States, providing electricity generation, transmission, and distribution to more than 5 million customers in 11 states. About 42% of AEP's of capacity is coal, with the remainder from a mix of natural gas (27%), renewable energy and hydro (21%), nuclear (8%), and demand response (2%). Vertically integrated utilities, transmission and distribution, and generation and marketing support earnings.

More About Our AEP ML Model...

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

To train our stocks AEP 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 AEP 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 AEP 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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