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as 11-21-2024 4:00pm EST

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Stocks

Technology

Computer peripheral equipment

Nasdaq

AstroNova Inc designs, develops, manufactures, and distributes a broad range of specialty printers and data acquisition and analysis systems, including both hardware and software, which incorporate technologies to acquire, store, analyze, and present data in multiple formats sold under the QuickLabel, TrojanLabel and GetLabels brand names. Its target markets for hardware and software products include aerospace, apparel, automotive, avionics, chemicals, computer peripherals, communications, distribution, food and beverage, general manufacturing, packaging, and transportation. It has two segments, Product Identification (PI) and Test & Measurement (T&M). It generates the majority of its revenue from the PI segment that includes specialty printing systems and related supplies.

More About Our ALOT ML Model...

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

To train our stocks ALOT 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 ALOT 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 ALOT 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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