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as 06-20-2024 10:31am EST

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Stocks

Consumer Discretionary

Other Specialty Stores

Nasdaq

Carvana Co is an e-commerce platform for buying and selling used cars. The company derives revenue from used vehicle sales, wholesale vehicle sales and other sales and revenues. The other sales and revenues include sales of loans originated and sold in securitization transactions or to financing partners, commissions received on VSCs and sales of GAP waiver coverage. The foundation of the business is retail vehicle unit sales. This drives the majority of the revenue and allows the company to capture additional revenue streams associated with financing, VSCs, auto insurance and GAP waiver coverage, as well as trade-in vehicles.

More About Our CVNA ML Model...

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

To train our stocks CVNA 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 CVNA 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 CVNA 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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