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as 12-20-2024 4:00pm EST

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Birks Group Inc is a part of the leisure industry. The company designs, develops, produces, and retails fine jewelry, timepieces, and gifts. Its operating segments include Retail and Other. The company generates maximum revenue from the Retail segment. Its retail segment consists of retail operations whereby it operates stores in Canada under the Maison Birks, Brinkhaus, Graff, and Patek Phillippe brands. The other segment consists mainly of wholesale business, e-commerce business, and gold exchange business.

More About Our BGI ML Model...

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

To train our stocks BGI 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 BGI 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 BGI 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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