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as 11-21-2024 4:00pm EST

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Stocks

Consumer Discretionary

Apparel

Nasdaq

Under Armour develops, markets, and distributes athletic apparel, footwear, and accessories in North America, Asia-Pacific, Europe, and elsewhere. Consumers of its performance-based clothing and shoes include professional and amateur athletes, sponsored college and professional teams, and people with active lifestyles. The company sells merchandise through direct-to-consumer, including e-commerce and more than 400 combined factory house and brand house stores, and wholesale channels. Under Armour also operates a digital fitness app called MapMyFitness. The Baltimore-based company was founded in 1996 and is led by controlling shareholder Kevin Plank.

More About Our UAA ML Model...

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

To train our stocks UAA 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 UAA 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 UAA 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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