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as of 12-12-2025 3:42pm EST

$113.38
+$0.14
+0.12%
Stocks Consumer Discretionary Auto Parts:O.E.M. Nasdaq

Lear Corp designs, develops, and manufactures automotive seating and electrical systems and components. The company has two reporting segments Seating and E-Systems. 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. The company earns majority of its revenue from the seating segment.

Frequently Asked Questions

Learn more about our LEA ML prediction model

What parameters are used to train the LEA ML model?

Our stocks LEA ML model is trained using historical data with over 25 parameters, including volume indicators, volatility indicators, momentum indicators, trend indicators, and other technical metrics.

How often is the LEA ML model updated?

We update our ML model weekly or biweekly (depending on market capitalization) using TensorFlow, typically over the weekend to ensure the most current predictions.

Why might the model accuracy vary?

Our current data provider offers limited historical data, which can impact accuracy. As we continue to gather more data and add additional indicators, we expect the model's accuracy to improve over time.

How can I contribute data to improve accuracy?

We greatly appreciate contributions! Please contact us at info@finquota.com to discuss how you can help improve our models.

Are shorter timeframe predictions available?

Yes, we offer predictions for strategy purposes with shorter intervals including 1 minute, 2 minutes, 5 minutes, 15 minutes, and 30 minutes timeframes.

Should I use this for financial decisions?

Our ML model is designed for educational purposes only and should not be used as the sole basis for financial decisions. Always consult with a qualified financial advisor before making any investment decisions.

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