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as 06-14-2024 4:00pm EST

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Stocks

Technology

Semiconductors

Nasdaq

Taiwan Semiconductor Manufacturing Co. is the world's largest dedicated chip foundry, with almost 60% market share. TSMC was founded in 1987 as a joint venture of Philips, the government of Taiwan, and private investors. It went public as an ADR in the U.S. in 1997. TSMC's scale and high-quality technology allow the firm to generate solid operating margins, even in the highly competitive foundry business. Furthermore, the shift to the fabless business model has created tailwinds for TSMC. The foundry leader has an illustrious customer base, including Apple, AMD, and Nvidia, that looks to apply cutting-edge process technologies to its semiconductor designs. TSMC employs more than 73,000 people.

More About Our TSM ML Model...

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

To train our stocks TSM 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 TSM 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 TSM 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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