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as 06-21-2024 4:00pm EST

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Stocks

Consumer Discretionary

Department/Specialty Retail Stores

Nasdaq

Dollar Tree operates discount stores across the United States and Canada, with over 8,400 shops under its namesake banner and 8,350 under Family Dollar. About 47% of Dollar Tree's sales in fiscal 2023 were composed of consumables (including food, health and beauty, and cleaning products), around 45% from variety items (including toys and homewares), and over 5% from seasonal items. The Dollar Tree banner sells most of its merchandise at the $1.25 price point and positions its stores in well-populated suburban markets. Conversely, Family Dollar primarily sells consumable merchandise (80% of the banner's sales) at prices below $10. About two-thirds of Family Dollar's stores are located in urban and suburban markets, with the remaining one-third located in rural areas.

More About Our DLTR ML Model...

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

To train our stocks DLTR 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 DLTR 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 DLTR 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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