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as 12-17-2024 4:00pm EST

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Stocks

Consumer Discretionary

Clothing/Shoe/Accessory Stores

Nasdaq

Tilly's Inc works as a specialty retailer of casual apparel, footwear, and accessories for young men, young women, boys, and girls. It offers an unparalleled selection of relevant brands, styles, colors, sizes, and price points. It delivers branded fashion, and core styles for tops, outerwear, bottoms, and dresses. It also provides backpacks, hats, sunglasses, headphones, handbags, watches, and jewelry. It markets its products under the brand names of Vans, RVCA, Adidas, Nike SB, and Hurley among others. It operates its stores in malls, lifestyle centers, power centers, community centers, outlet centers, street-front locations, and also through e-commerce.

More About Our TLYS ML Model...

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

To train our stocks TLYS 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 TLYS 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 TLYS 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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