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as 07-05-2024 1:32pm EST

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Stocks

Consumer Discretionary

Home Furnishings

Nasdaq

The Dixie Group Inc is a carpet and rug mills company. Its businesses consist principally of marketing, manufacturing, and selling finished carpets, rugs, and luxury vinyl tile in the domestic floor covering market. The company has one reportable segment, Floor covering. The company sells floor covering products in both residential applications. Its business is primarily concentrated in areas of the soft floor covering market segment. The company provides its products under the brands of Fabrica, Masland Residential, Dixie Home, Atlas Carpet Mills, and Masland Contract. The company generates revenue from Residential floor covering products and Other services.

More About Our DXYN ML Model...

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

To train our stocks DXYN 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 DXYN 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 DXYN 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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