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as 06-20-2024 10:31am EST

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Stocks

Consumer Discretionary

Auto & Home Supply Stores

Nasdaq

AutoZone operates as a leading retailer of aftermarket automotive parts in the United States. The firm operates over 6,300 stores domestically, serving both the do-it-yourself and commercial (do-it-for-me) end markets. Through its vast store footprint and distribution network, AutoZone manages a wide array of stock-keeping units applicable to numerous vehicle makes and models, providing its consumers with ample product availability. The firm drives traffic by providing superior and convenient customer service as AutoZone's team of knowledgeable staff assists consumers with diagnosing a vehicle's problem, selecting the necessary part for replacement, and in some instances, installation. The company also operates internationally, with over 750 stores in Mexico and 100 in Brazil.

More About Our AZO ML Model...

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

To train our stocks AZO 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 AZO 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 AZO 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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