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as 10-17-2024 4:00pm EST

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Stocks

Consumer Discretionary

Retail-Auto Dealers and Gas Stations

Nasdaq

Kaixin Holdings is an auto retail platform for luxury used cars and imported new cars. The company is actively engaged in the research and development, design, manufacturing, and sales of electric vehicles and promotes the innovation of next-generation autonomous driving and artificial intelligence technologies. The company primarily generates revenues from sales of used cars, as well as fees obtained from its role as a channel partner for third-party auto financing and other value-added service providers.

More About Our KXIN ML Model...

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

To train our stocks KXIN 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 KXIN 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 KXIN 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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