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as 11-14-2024 9:44am EST

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Founded in 1948, Hexcel designs and manufactures a range of highly engineered composite fibers, fabrics, resins, and structures for use in commercial aerospace, defense, and other industrial markets. These are lighter than metal and perform under rigorous conditions in aircraft frames, wings, engines, and other components and subassemblies. The company's name derives from the six-sided honeycomb structures that lend many of its products their light weight and rigidity. Hexcel's biggest customers are Airbus (38% of 2022 sales) and Boeing (25% of prepandemic sales) and its respective subcontractors.

More About Our HXL ML Model...

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

To train our stocks HXL 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 HXL 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 HXL 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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