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as 11-15-2024 4:00pm EST

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Natural Gas Distribution

Nasdaq

OPAL Fuels Inc is a fully integrated, nationwide leader in the production and distribution of low-carbon intensity renewable natural gas. The company is also engaged in the marketing and distribution of RNG to heavy-duty trucking and other hard-to-de-carbonize industrial sectors. The company designs, develops, constructs, operates, and services Fueling Stations for trucking fleets across the country that use natural gas to displace diesel as their transportation fuel. The company derives revenue from the sale of Renewable Power, design, development, construction, and service of Fueling Stations, and sales of RNG produced by OPAL and third parties as pipeline-quality natural gas.

More About Our OPAL ML Model...

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

To train our stocks OPAL 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 OPAL 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 OPAL 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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