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as 06-18-2024 9:30am EST

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Stocks

Consumer Discretionary

Clothing/Shoe/Accessory Stores

Nasdaq

Founded in 1970, Philadelphia-based Urban Outfitters is an apparel and home goods retailer that operates more than 700 stores and e-commerce in the United States (87% of fiscal 2024 sales) and other regions. Its retail nameplates are Urban Outfitters, Free People, FP Movement, and Anthropologie. Retail accounted for 91% of fiscal 2024 revenue, but the firm also sells products through a wholesale operation, owns some restaurants, and operates a clothing rental and resale business called Nuuly (5% of sales). Urban Outfitters primarily markets to young adults and offers products in categories such as apparel (66% of sales), home goods (16% of sales), accessories (13% of sales), and more.

More About Our URBN ML Model...

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

To train our stocks URBN 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 URBN 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 URBN 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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