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as 12-20-2024 4:00pm EST

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Stocks

Consumer Discretionary

Publishing

Nasdaq

Cimpress PLC invests in and builds customer-focused, entrepreneurial, mass-customization businesses for the long term. Mass customization seeks to produce goods and services to meet individual customer needs with near mass production efficiency. Its products and services include a broad range of marketing materials, business cards, signage, promotional products, logo apparel, packaging, books and magazines, wall decor, photo merchandise, invitations and announcements, design and digital marketing services, and other categories. The company's segment includes Vista; PrintBrothers; The Print Group; National Pen and All Other Businesses. It generates maximum revenue from the Vista segment.

More About Our CMPR ML Model...

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

To train our stocks CMPR 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 CMPR 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 CMPR 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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