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as 06-18-2024 9:30am EST

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Stocks

Utilities

Power Generation

Nasdaq

Public Service Enterprise Group is the holding company for a regulated utility (PSE&G) and other nonregulated businesses such as nuclear power generation and clean energy projects. PSE&G provides regulated gas and electricity delivery services in New Jersey to a combined 4.2 million customers. Public Service Enterprise Group also operates the Long Island Power Authority system. In 2022, the company sold its gas and oil power plants in the mid-Atlantic, New York, and the Northeast.

More About Our PEG ML Model...

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

To train our stocks PEG 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 PEG 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 PEG 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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