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as 06-18-2024 9:30am EST

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Stocks

Consumer Discretionary

Auto Parts:O.E.M.

Nasdaq

Magna International prides itself on a highly entrepreneurial culture and a corporate constitution that outlines distribution of profits to various stakeholders. This automotive supplier's product groups include exteriors, interiors, seating, roof systems, body and chassis, powertrain, vision and electronic systems, closure systems, electric vehicle systems, tooling and engineering, and contract vehicle assembly. In 2023, 48% of Magna's $42.8 billion of revenue came from North America while Europe accounted for approximately 38% and Asia the remainder. The firm's top six customers constituted 76% of revenue with the top three being GM, Mercedes, and BMW. GM was the largest contributor at 14%. The company was founded in 1957, has over 179,000 employees, and is based in Aurora, Ontario.

More About Our MGA ML Model...

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

To train our stocks MGA 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 MGA 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 MGA 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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