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as 12-20-2024 4:00pm EST

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Benson Hill Inc is an ag-tech company specializing in soy protein innovation. The company has one business segment Ingredient. The company focuses on seed innovation through proprietary germplasm and the CropOS platform. This platform integrates protein, genomic, and strategic data for predictive breeding using AI and ML. They operate a Crop Accelerator for rapid prototyping. Benson Hill is developing a seed portfolio for protein ingredients, aquaculture, specialty animal feed, and vegetable oils. The company's revenue can be disaggregated into product categories: Proprietary and Non-Proprietary. Proprietary revenue is defined as any sale of a proprietary bean. Non-Proprietary revenue is all other revenue from non-Proprietary sources.

More About Our BHIL ML Model...

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

To train our stocks BHIL 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 BHIL 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 BHIL 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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