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as 06-20-2024 10:34am EST

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Stocks

Consumer Discretionary

Auto & Home Supply Stores

Nasdaq

O'Reilly is an aftermarket automotive parts retailer in the United States and Mexico with nearly $16 billion in annual sales. The company operates over 6,000 domestic stores and serves both the do-it-yourself (about 55% of sales) and professional (45% of sales) end markets. Despite operating amid a highly fragmented industry, O'Reilly differentiates itself by providing quality service to its customers throughout the entirety of the vehicle diagnosis and purchasing process. Furthermore, the firm boasts an impressive hub-and-spoke distribution network designed to provide its localized store base with ample aftermarket product availability across a variety of vehicle makes and models.

More About Our ORLY ML Model...

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

To train our stocks ORLY 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 ORLY 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 ORLY 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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