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as 06-21-2024 4:00pm EST

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Stocks

Consumer Discretionary

Office Equipment/Supplies/Services

Nasdaq

HNI Corp is a provider of office furniture and hearth products. The company generates the bulk of its revenue from its workplace furnishing, which consists of panel-based and freestanding furniture systems, seating, storage, tables, and architectural products. These products are sold through a national system of dealers, wholesalers, and office product distributors but also directly to end-user customers and federal, state, and local governments. Residential building products include a full array of gas, wood, electric, and pellet-fueled fireplaces, inserts, stoves, facings, and accessories. The company has operations in the United States, Canada, Mainland China, Hong Kong, India, Mexico, and Taiwan.

More About Our HNI ML Model...

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

To train our stocks HNI 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 HNI 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 HNI 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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