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as 06-20-2024 4:00pm EST

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The Hain Celestial Group Inc makes better-for-you natural and organic food and personal-care products. Some of the company's majority-recognized U.S. brands (55% of fiscal 2022 sales) are Celestial Seasonings, Terra, Garden of Eatin', Sensible Portions, Greek Gods yogurt, and Earth's baby food. Hain also maintains several brands in the U.K. (26% of sales), such as Ella's Kitchen baby food, New Covent Garden soup, Linda McCartney's plant-based meats, Sun-Pat nut butter, and Hartley's jams and gelatins. Its products can be found in traditional grocery stores, natural foods supermarkets, specialty health stores, mass-market retailers, club warehouses, drugstores, convenience stores, restaurants, and e-commerce sites.

More About Our HAIN ML Model...

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

To train our stocks HAIN 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 HAIN 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 HAIN 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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