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as 12-20-2024 4:00pm EST

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Stocks

NYSE

Zhibao Technology Inc is a insurance technology company engaged in providing digital insurance brokerage services in China. 2B2C digital embedded insurance is their business model which is pioneered in China. It provides customized digital insurance solutions for B-side channels (covering a wide range of industries and organizations, including but not limited to Internet platforms, large and medium-sized enterprises, and government agencies, etc.), embedding them into the channel's existing business matrix, and providing the channel with Provide digital insurance brokerage services to C-end customers.

More About Our ZBAO ML Model...

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

To train our stocks ZBAO 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 ZBAO 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 ZBAO 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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