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as 12-18-2024 2:33pm EST

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Cabot Corp manufactures and sells a variety of chemicals, materials, and chemical-based products. The company organizes itself into the following operating segments based on the product type; the Reinforcement Materials segment which generates maximum revenue provides reinforcing carbon products used in tires, and industrial products such as hoses, belts, extruded profiles, and molded goods; and the Performance Chemicals segment aggregates the specialty carbons, specialty compounds, fumed metal oxides, battery materials, inkjet colorants, and aerogel product lines. Geographically, the company derives maximum revenue from its customers in Europe, the Middle East, and Africa and the rest from the Americas and Asia Pacific region.

More About Our CBT ML Model...

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

To train our stocks CBT 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 CBT 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 CBT 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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