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as 06-18-2024 9:30am EST

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Stocks

Consumer Discretionary

Auto Parts:O.E.M.

Nasdaq

BorgWarner is a Tier I auto-parts supplier with three operating segments. The air management group makes turbochargers, e-boosters, e-turbos, timing systems, emissions systems, thermal systems, gasoline ignition technology, powertrain sensors, and cabin heaters. The drivetrain and battery systems group produces automatic transmission components, torque management products, battery heaters, battery charging, and battery modules. The e-propulsion segment makes e-motors, power electronics, and software and control modules. The company's largest customers are Ford and Volkswagen at 14% and 11% of 2023 revenue, respectively. Geographically, Europe accounted for 36% of 2023 revenue, while Asia and North America were 34% and 29% apiece.

More About Our BWA ML Model...

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

To train our stocks BWA 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 BWA 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 BWA 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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