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as 11-07-2024 4:00pm EST

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NYSE

Primega Group Holdings Ltd is engaged in transportation services. It operate in the Hong Kong construction industry, mainly handling transportation of materials excavated from construction sites. Its services principally comprise of (i) soil and rock transportation services; (ii) diesel oil trading; and (iii) construction works, which mainly includes ELS works and bored piling. The company provide services as a subcontractor to other construction contractors in Hong Kong. Maximum revenue is generated from oil and rock transportation services.

More About Our PGHL ML Model...

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

To train our stocks PGHL 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 PGHL 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 PGHL 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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