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as 11-20-2024 4:00pm EST

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Stocks

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Semiconductors

Nasdaq

GlobalFoundries is a top-five contract semiconductor manufacturer globally. It was originally the manufacturing arm of Advanced Micro Devices before it was spun out in 2009. The foundry sells chips into a range of end markets including smartphones, PCs, Internet of Things, data centers, automotive, industrial, and so on, but primarily focuses on more mature process technologies. Until 2021, the firm was privately held by Mubadala Investment, the sovereign wealth fund of the United Arab Emirates. GlobalFoundries merged with Chartered Semiconductor Manufacturing in 2009 and acquired IBM's chipmaking business in 2015. GF is headquartered in Malta, New York, and employs about 12,000 people.

More About Our GFS ML Model...

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

To train our stocks GFS 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 GFS 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 GFS 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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