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as 06-14-2024 4:00pm EST

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Stocks

Consumer Discretionary

Other Specialty Stores

Nasdaq

Based in Dallas, Copart operates an online salvage vehicle auction with operations in 11 countries across North America, Europe, and the Middle East, facilitating over 3.5 million transactions annually. The company utilizes its virtual bidding platform, VB3, to connect vehicle sellers with over 750,000 registered buyers around the world. Buyers primarily consist of vehicle dismantlers, rebuilders, individuals and used vehicle retailers. About 80% of Copart's vehicle volume is supplied by auto insurance companies holding vehicles deemed a total loss. Copart also offers services such as vehicle transportation, storage, title transfer, and salvage value estimation. The company primarily operates on a consignment basis and collects fees based on the vehicle's final selling price.

More About Our CPRT ML Model...

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

To train our stocks CPRT 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 CPRT 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 CPRT 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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