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as 06-20-2024 4:00pm EST

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Stocks

Consumer Discretionary

Auto Manufacturing

Nasdaq

Stellantis NV was formed on Jan. 16, 2021, from the merger of Fiat Chrysler Automobiles and PSA Group. The combination of the two companies created the world's fifth-largest automaker, with 14 automobile brands. In 2023, pro forma Stellantis had sales volume of 6.2 million vehicles and EUR 189.5 billion in revenue, albeit affected by the microchip shortage. Europe is Stellantis' largest market, accounting for 44% of 2023 global volume while North America and South America were 29% and 15%, respectively.

More About Our STLA ML Model...

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

To train our stocks STLA 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 STLA 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 STLA 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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