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as 11-15-2024 4:00pm EST

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China Natural Resources Inc is an investment holding company. It principally engaged in the exploration and mining and wastewater treatment businesses in the People's Republic of China. The company has two operating segments: (i) Wastewater treatment segment, which consists of sales of assembled equipment, provision of construction service, and participation in PPP projects as an operator (ii) Exploration and mining segment, which consists of the exploration of lead, silver, and other metals in the Inner Mongolia Autonomous Region of the PRC and the trading of copper ores products. It earns the majority of its revenue from the Wastewater treatment segment.

More About Our CHNR ML Model...

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

To train our stocks CHNR 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 CHNR 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 CHNR 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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