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as 11-14-2024 3:35pm EST

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Stocks

Nasdaq

Nature Wood Group Ltd is a vertically-integrated forestry company that focuses on FSC business operations. It produces various products, including logs, decking, flooring, sawn timber, recycled charcoal, synthesized charcoal, machine-made charcoal, and essential oils. The Group owns natural forest concessions and cutting rights for exploiting timbers on parcels of land in Peru. The Group is organized into two operating divisions; Direct Purchase and Original Design Manufacturer (ODM) Services, and Manufacturing segments. The Direct Purchase and ODM Segment that derives the majority of revenue engages in the business of sourcing live wood and owning designed designs on wood products for sales to end customers. Geographically, the company generates a majority of its revenue from China.

More About Our NWGL ML Model...

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

To train our stocks NWGL 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 NWGL 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 NWGL 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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