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as 07-12-2024 4:00pm EST

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Stocks

Consumer Discretionary

Catalog/Specialty Distribution

Nasdaq

The Container Store Group Inc is a U.S. based specialty retailer of storage and organization products and solutions. It offers a collection of multifunctional and customizable storage and organization solutions. The company consists of two segments., The Container store segment consists of retail stores, website, and call center, as well as installation and organizational services business. The Elfa segment involves designing and manufacturing component-based shelving and drawer systems and made-to-measure sliding doors. It derives a majority of the revenue from the Container store segment.

More About Our TCS ML Model...

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

To train our stocks TCS 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 TCS 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 TCS 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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