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as of 11-28-2025 12:32pm EST

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Genie Energy Ltd, through its subsidiaries, operates as a retail energy provider. It serves two reportable business segments: Genie retail energy, or GRE, and Genie renewables. The Genie retail energy segment resells energy to residential and commercial consumers in the Eastern and Midwestern United States through its portfolio of various retail energy providers. The Genie renewables segment holds controlling interests in various companies engaged in the manufacturing of solar panels, solar installation design, and solar energy project management. It generates the majority of its revenue from the Genie retail energy segment.

Frequently Asked Questions

Learn more about our GNE ML prediction model

What parameters are used to train the GNE ML model?

Our stocks GNE 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 GNE 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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