as of 12-12-2025 3:41pm EST
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 company 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 1,850 Ross Dress for Less stores are primarily located in densely populated suburban communities and typically serve middle-income consumers. Ross also operates around 360 DD's Discounts chains targeting lower-income shoppers.
Learn more about our ROST ML prediction model
Our stocks ROST ML model is trained using historical data with over 25 parameters, including volume indicators, volatility indicators, momentum indicators, trend indicators, and other technical metrics.
We update our ML model weekly or biweekly (depending on market capitalization) using TensorFlow, typically over the weekend to ensure the most current predictions.
Our current data provider offers limited historical data, which can impact accuracy. As we continue to gather more data and add additional indicators, we expect the model's accuracy to improve over time.
We greatly appreciate contributions! Please contact us at info@finquota.com to discuss how you can help improve our models.
Yes, we offer predictions for strategy purposes with shorter intervals including 1 minute, 2 minutes, 5 minutes, 15 minutes, and 30 minutes timeframes.
Our ML model is designed for educational purposes only and should not be used as the sole basis for financial decisions. Always consult with a qualified financial advisor before making any investment decisions.
Our ROST ML model is developed exclusively for educational purposes. Any information presented on this page regarding the '"ROST Forecast & Prediction for December 15, 2025 Ross Stores Inc." should not be considered as financial advice or as a recommendation to buy or sell stocks. It is provided strictly for educational purposes. Investing in stocks involves significant risks, and decisions should be made only after careful consideration and consultation with a qualified financial advisor.