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as 12-20-2024 4:00pm EST

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Stocks

Industrials

Environmental Services

Nasdaq

Ambipar Emergency Response is a environmental, emergency response and industrial field service provider in Brazil with presence in 16 countries in Latin America, North America, Europe, Africa and Antarctica. The company provides customers with a full suite of environmental services organized around prevention, training and emergency response on all transportation modes. The portfolio includes a broad variety of services such as environmental remediation, industrial field services, industrial cleaning of chemical and non-chemical products and of hazardous and non-hazardous waste, consulting services focused on accident prevention and environmental licensing.

More About Our AMBI ML Model...

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

To train our stocks AMBI 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 AMBI 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 AMBI 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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