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as of 12-17-2025 3:52pm EST

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General Mills is a global packaged-food company that produces snacks, cereal, convenient meals, dough, baking mixes and ingredients, pet food, and superpremium ice cream. Its largest brands are Nature Valley, Cheerios, Old El Paso, Pillsbury, Betty Crocker, Blue Buffalo, and Haagen-Dazs. In fiscal 2025, 81% of its revenue was derived from the United States, although the company also operates in Canada, Europe, Australia, Asia, and Latin America. Although most of General Mills' products are sold through retail stores to consumers, the company also sells products to the foodservice channel and the commercial baking industry.

Frequently Asked Questions

Learn more about our GIS ML prediction model

What parameters are used to train the GIS ML model?

Our stocks GIS ML model is trained using historical data with over 25 parameters, including volume indicators, volatility indicators, momentum indicators, trend indicators, and other technical metrics.

How often is the GIS ML model updated?

We update our ML model weekly or biweekly (depending on market capitalization) using TensorFlow, typically over the weekend to ensure the most current predictions.

Why might the model accuracy vary?

Our current data provider offers limited historical data, which can impact accuracy. As we continue to gather more data and add additional indicators, we expect the model's accuracy to improve over time.

How can I contribute data to improve accuracy?

We greatly appreciate contributions! Please contact us at info@finquota.com to discuss how you can help improve our models.

Are shorter timeframe predictions available?

Yes, we offer predictions for strategy purposes with shorter intervals including 1 minute, 2 minutes, 5 minutes, 15 minutes, and 30 minutes timeframes.

Should I use this for financial decisions?

Our ML model is designed for educational purposes only and should not be used as the sole basis for financial decisions. Always consult with a qualified financial advisor before making any investment decisions.

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