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as 11-22-2024 4:00pm EST

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Stocks

Health Care

Biotechnology: Biological Products (No Diagnostic Substances)

Nasdaq

Based in Minnesota, Bio-Techne is a life sciences manufacturer supplying consumables and instruments for the pharma, biotech, academic, and diagnostic markets. It reports in two segments: protein sciences (75% of revenue) and diagnostics and genomics (25%). The protein sciences segment sells reagents and analytical instruments used in life sciences research, including antibodies used in protein analysis. The diagnostics and genomics segment sells diagnostic reagents, molecular diagnostics, and spatial biology products. The United States accounts for about 55% of revenue. The firm also has operations in Europe, the Middle East, and Africa (20% of sales), the UK (5%), and Asia-Pacific (15%), with the rest of the world accounting for the remaining 5%.

More About Our TECH ML Model...

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

To train our stocks TECH 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 TECH 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 TECH 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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