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as 11-21-2024 4:00pm EST

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Stocks

Consumer Discretionary

Home Furnishings

Nasdaq

With a retail and direct-to-consumer presence, Williams-Sonoma is a player in the $300 billion domestic home category and $450 billion international home market, focused on expanding its exposure in the B2B ($80 billion total addressable market), marketplace, and franchise areas. Namesake Williams-Sonoma (156 stores) offers high-end cooking essentials, while Pottery Barn (184) provides casual home accessories. West Elm (121) is an emerging concept for young professionals, and Rejuvenation (11) offers lighting and house parts. Brand extensions include Pottery Barn Kids and PBteen (45) as well as Mark & Graham and Greenrow. Williams-Sonoma also has a business-to-business team that supports projects that range from residential to large-scale commercial.

More About Our WSM ML Model...

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

To train our stocks WSM 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 WSM 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 WSM 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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