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GreenTree Hospitality Group Ltd is a franchised hotel operator in China as franchised and managed hotels represent almost all the hotels in its hotel network. The hotel network of the company comprised approximately 4,059 hotels with nearly 302,497 rooms in China, covering all centrally administrated municipalities and cities throughout all provinces and autonomous regions in China. The company operates its hotels under GreenTree Inns, GreenTree Eastern, Gme, Gya and VX, GreenTree Alliance, Vatica, and others. The company operates solely in China and generates all its revenue from China itself.

More About Our GHG ML Model...

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

To train our stocks GHG 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 GHG 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 GHG 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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