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as 11-22-2024 4:00pm EST

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Stocks

Consumer Discretionary

Clothing/Shoe/Accessory Stores

Nasdaq

Ross Stores operates as an off-price apparel and accessories retailer with the majority of its sales derived from its Ross Dress for Less banner. The firm opportunistically procures excess brand-name merchandise made available via manufacturing overruns and retail liquidation sales at a 20%-60% discount to full prices. As such, its stores are often filled with a vast array of stock-keeping units, each with minimal product depth that creates a treasure hunt shopping experience. The firm's more than 1,750 Ross Dress for Less stores are primarily located in densely populated suburban communities and typically serve middle-income consumers. Ross also operates about 350 DD's Discounts chains targeting lower-income shoppers.

More About Our ROST ML Model...

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

To train our stocks ROST 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 ROST 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 ROST 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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