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as 06-21-2024 4:00pm EST

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Stocks

Consumer Discretionary

Automotive Aftermarket

Nasdaq

Genuine Parts sells aftermarket automotive parts (about 60% of sales) and industrial products (40% of sales) in the United States and internationally. The automotive segment primarily acts as a distributor to its network of 9,800 global retail locations of which about two thirds are independently owned and operated. we estimate Genuine serves around 6,000 retail locations in the US operating under the Napa Auto Parts brand, with about 80% of sales derived from professional customers. Its industrial segment, primarily operating under the Motion banner in the United States, serves as a leading distributor of bearings, power transmission, and other industrial products to over 200,000 maintenance, repair, and original equipment manufacturer clients.

More About Our GPC ML Model...

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

To train our stocks GPC 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 GPC 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 GPC 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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