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as 11-25-2024 10:34am EST

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Farming/Seeds/Milling

Nasdaq

Davis Commodities Ltd is an agricultural commodity trading company based in Singapore which specializes in trading of three main categories of agricultural commodities namely sugar, rice, and oil and fat products. It distributes agricultural commodities to various markets, including Asia, Africa and the Middle East. The company also provides customers of commodity offerings with complementary, ancillary services such as warehouse handling and storage and logistics services. The Company operates across four main segments: the sale of sugar, rice, oil and fat products, and others. Among these, the sale of sugar stands out as the primary revenue generator, contributing significantly to the company's overall income.

More About Our DTCK ML Model...

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

To train our stocks DTCK 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 DTCK 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 DTCK 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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