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as 06-20-2024 4:00pm EST

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Stocks

Consumer Staples

Beverages (Production/Distribution)

Nasdaq

Boston Beer is a top player in high-end malt beverages and adjacent categories in the us, with strong positions in craft beer, flavored malt beverages, hard cider, and hard seltzer. The bulk of volume and revenue is concentrated in four brands: Samuel Adams, Angry Orchard, Twisted Tea, and Truly. Beverages are produced using a hybrid model leveraging both in-house capacities and third-party breweries through contract arrangements. While the firm is required to use distributors to reach end markets, including retailers and on-premises operators, it also employs 500 internal sales representatives to educate the market about its products. The firm generates over 95% of sales in the us.

More About Our SAM ML Model...

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

To train our stocks SAM 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 SAM 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 SAM 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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