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as 07-26-2024 4:00pm EST

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Stocks

Technology

Consumer Electronics/Appliances

Nasdaq

GE Aerospace is the global leader in designing, manufacturing, and servicing large aircraft engines, along with partner Safran in their CFM joint venture. With its massive global installed base of nearly 70,000 commercial and military engines, GE Aerospace earns most of its profits on recurring service revenue of that equipment, which operates for decades. GE Aerospace is the remaining core business of the company formed in 1892 with historical ties to American inventor Thomas Edison; that company became a storied conglomerate with peak revenue of $130 billion in 2000. GE spun off its appliance, finance, healthcare, and wind and power businesses between 2016 and 2024.

More About Our GE ML Model...

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

To train our stocks GE 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 GE 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 GE 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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