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as 11-15-2024 4:00pm EST

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Nasdaq

Smart Powerr Corp is a pioneer in waste energy recycling and a developer of energy efficiency solutions for various energy-intensive industries in China. It uses the Build-Operate-Transfer (BOT) model to provide energy-saving and recovery facilities for multiple energy-intensive industries in China. Its waste energy recycling projects allow customers which use substantial amounts of electricity to recapture previously wasted pressure, heat, and gas from their manufacturing processes to generate electricity. The company currently offer waste energy recycling systems to companies for use in nonferrous metal plants. It constructs its projects at its customer's facility and the electricity produced is used on-site by the customer.

More About Our CREG ML Model...

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

To train our stocks CREG 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 CREG 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 CREG 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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