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as 10-24-2025 3:54pm EST

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Stocks

Technology

Computer Software: Programming Data Processing

Nasdaq

Huya, officially became independent in 2016 and headquartered in Guangzhou, operates live streaming platform focused on games, esports, and interactive entertainment, and also provides game-related services such as distribution and in-game item sales. Its main livestreaming platforms include Huya Live in China and Nimo TV outside of China. As of 2024, Huya was a subsidiary of Tencent, which owned 67% of its equity stake and held 95% of the voting power.

More About Our HUYA ML Model...

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

To train our stocks HUYA 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 HUYA 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 HUYA 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 info@finquota.com

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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