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as 11-15-2024 4:00pm EST

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Stocks

Consumer Discretionary

Construction/Ag Equipment/Trucks

Nasdaq

Hyzon Motors Inc assembles and supplies hydrogen fuel cell-powered commercial vehicles across North America, Europe, China, and Australasia. In addition, it builds and fosters a clean hydrogen supply ecosystem with partners from feedstocks through production, dispensing and financing. The company intends to meet its customers' zero-emission vehicle needs by electrifying proven vehicle platforms utilizing its industry- leading fuel cell and electric propulsion technologies. It expects to deploy these technologies in various vehicle classes, including heavy-duty and medium-duty trucks and buses with the potential for future expansion into light-duty commercial vehicles, additional mobility use cases and stationary power applications.

More About Our HYZNW ML Model...

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

To train our stocks HYZNW 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 HYZNW 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 HYZNW 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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