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as 06-21-2024 4:00pm EST

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Stocks

Consumer Discretionary

Auto Parts:O.E.M.

Nasdaq

Lear designs, develops, and manufactures automotive seating and electrical systems and components. Seating components include frames and mechanisms, covers (leather and woven fabric), seat heating and cooling, foam, and headrests. Automotive electrical distribution and connection systems and electronic systems include wiring harnesses, terminals and connectors, on-board battery chargers, high-voltage battery management systems, high-voltage power distribution systems, domain controllers, telematics control units, gateway modules, vehicle positioning for automated and autonomous driving, embedded control software, cloud and mobile device software and services, and cybersecurity. Lear's largest customer and regional market is GM and North America at 20% and 44% of 2022 revenue, respectively.

More About Our LEA ML Model...

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

To train our stocks LEA 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 LEA 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 LEA 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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