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as 11-14-2024 2:32pm EST

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Stocks

Technology

EDP Services

Nasdaq

Cheer Holding Inc is a provider of next generation mobile internet infrastructure and platform services in China. It is engaged in building a digital ecosystem that integrates platforms, applications, technology, and industry into a cohesive system, thereby creating a new, open business environment that leverages AI technology. Its portfolio includes various products and services, such as Polaris Intelligent Cloud, CHEERS Telepathy, CHEERS Open Platform, CHEERS Video, CHEERS e-Mall, CheerReal, CheerCar, CheerChat, CHEERS Fresh Group-Buying E-commerce Platform, Digital Innovation Research Institute, CHEERS Livestreaming, variety show series, IP short video matrix, and more.

More About Our CHR ML Model...

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

To train our stocks CHR 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 CHR 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 CHR 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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