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as 12-20-2024 4:00pm EST

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Stocks

Finance

Finance: Consumer Services

Nasdaq

Jiayin Group Inc is China's technology service group. It is an enterprise engaged in technological innovation services. It is committed to using big data, cloud computing, artificial intelligence and other technologies to connect consumers and financial institutions in consumption scenarios so that every user can enjoy efficient and convenient technology services. The company has engraved technological innovation into the company's development genes since its establishment, adheres to the dual drive of digital + technology, and focuses on building a cloud service platform and intelligent risk control system with big data drive as the core concept.

More About Our JFIN ML Model...

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

To train our stocks JFIN 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 JFIN 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 JFIN 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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