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as 11-22-2024 4:00pm EST

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Stocks

Consumer Discretionary

Clothing/Shoe/Accessory Stores

Nasdaq

TJX Companies is the leading off-price retailer of apparel, accessories, and home merchandise in the United States. The firm leverages its more than 21,000 global vendor relationships to procure and sell brand-name merchandise at prices 20%-60% cheaper than conventional retail channels. TJX opportunistically purchases excess inventory that stems from manufacturing overruns and retail closeout sales. The off-price retailer disperses its vast and disparate merchandise across its 5,000 global stores, creating a treasure-hunt shopping experience for consumers. Over three quarters of TJX's sales are derived from the United States, primarily via the T.J. Maxx, Marshalls, and HomeGoods banners. About 10% of sales are from Canada and 12% from Europe and Australia.

More About Our TJX ML Model...

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

To train our stocks TJX 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 TJX 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 TJX 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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