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as 12-18-2024 1:32pm EST

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Stocks

Nasdaq

BEST Inc is a supply chain company. It provides a New Retail platform that offers technology-enabled integrated solutions such as supply chain management, express delivery, freight, merchandise sourcing, cross-border supply chain, last-mile, financial and value-added services. The Group operates in the following operating segments, Supply chain management services, Freight, Global and Others. The Others category principally relates to cross-border logistic coordination services. The majority of revenue generated from Freight segment.

More About Our BEST ML Model...

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

To train our stocks BEST 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 BEST 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 BEST 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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