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as 12-20-2024 4:00pm EST

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Stocks

Technology

Industrial Machinery/Components

Nasdaq

Desktop Metal Inc manufactures 3D printing to make metal and carbon fiber 3D printing accessible to all engineers, designers, and manufacturers. 3D metal printing helps in the design and development of automotive parts, consumer goods, manufacture of industrial equipment, and design of mechanical systems. The company ships its product to markets in the Americas, Europe Middle East and Africa (EMEA), and Asia Pacific (APAC). It derives maximum revenue from Americas.

More About Our DM ML Model...

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

To train our stocks DM 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 DM 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 DM 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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