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as 06-20-2024 10:32am EST

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Consumer Discretionary

Food Distributors

Nasdaq

Hibbett Inc is engaged in the retail of sports goods. The company operates small to midsize stores and focuses its business on the South, Southwest, mid-Atlantic, and Midwest areas of the country. It offers a broad range of sporting goods, including apparel, footwear, accessories, and equipment needed for team sports, with brands such as Nike, Under Armour, Adidas, The North Face, Jordan, Costa, and others. The company consists of three kinds of stores: Hibbett Sports, the company's primary retail format stores, accounting for most of the company's total stores, and City Gear, and Sports Additions, smaller-format stores primarily offering athletic footwear with a fashion-based style.

More About Our HIBB ML Model...

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

To train our stocks HIBB 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 HIBB 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 HIBB 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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