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as of 12-19-2025 3:38pm EST

$127.35
+$0.72
+0.56%
Stocks Consumer Discretionary Department/Specialty Retail Stores Nasdaq

Dollar Tree operates discount stores across the United States and Canada, with over 8,800 shops under its namesake banner. About 50% of Dollar Tree's sales in fiscal 2024 were consumables (including food, health and beauty, and cleaning products), around 45% variety items (including toys and homewares), and 5% seasonal items. Dollar Tree sells most of its merchandise at the $1.25 price point and positions its stores in well-populated suburban markets. The retailer has agreed to sell Family Dollar (with about 7,000 stores) to private equity investors for $1 billion.

Frequently Asked Questions

Learn more about our DLTR ML prediction model

What parameters are used to train the DLTR ML model?

Our stocks DLTR ML model is trained using historical data with over 25 parameters, including volume indicators, volatility indicators, momentum indicators, trend indicators, and other technical metrics.

How often is the DLTR ML model updated?

We update our ML model weekly or biweekly (depending on market capitalization) using TensorFlow, typically over the weekend to ensure the most current predictions.

Why might the model accuracy vary?

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.

How can I contribute data to improve accuracy?

We greatly appreciate contributions! Please contact us at info@finquota.com to discuss how you can help improve our models.

Are shorter timeframe predictions available?

Yes, we offer predictions for strategy purposes with shorter intervals including 1 minute, 2 minutes, 5 minutes, 15 minutes, and 30 minutes timeframes.

Should I use this for financial decisions?

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.

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