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as 06-18-2024 9:30am EST

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Stocks

Industrials

Containers/Packaging

Nasdaq

Silgan Holdings manufactures about half of the metal food containers in North America. Its major customers include Campbell Soup, Nestle, and Del Monte. Silgan's other business segments include plastic dispensers and containers for personal and healthcare products and a closures business that manufactures metal and plastic lids and caps.

More About Our SLGN ML Model...

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

To train our stocks SLGN 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 SLGN 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 SLGN 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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