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as 06-21-2024 4:00pm EST

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Stocks

Consumer Discretionary

Department/Specialty Retail Stores

Nasdaq

Target serves as the nation's sixth-largest retailer, with its strategy predicated on delivering a gratifying in-store shopping experience and a wide product assortment of trendy apparel, home goods, and household essentials at competitive prices. Target's upscale and stylish image began to carry national merit in the 1990s—a decade in which the brand saw its top line grow threefold to almost $30 billion—and has since cemented itself as a top US retailer.Today, Target operates over 1,950 stores in the United States, generates over $100 billion in sales, and fulfills over 2 billion customer orders annually. The firm's vast physical footprint is typically concentrated in urban and suburban markets as the firm seeks to attract a more affluent consumer base.

More About Our TGT ML Model...

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

To train our stocks TGT 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 TGT 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 TGT 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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