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as 06-21-2024 4:00pm EST

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Fabrinet is a United States-based company that is principally engaged in providing outsourced manufacturing services to original equipment manufacturers (OEM). These OEM customers are mainly companies in complex industries that require precision manufacturing capabilities. The company offers a wide range of optical and electro-mechanical manufacturing capabilities across the whole producing process. It helps its customers to manufacture various products, such as selective switching products, active optical cables, tunable transponders and transceivers, lasers, and sensors. The company generates the majority of revenue from North America and Asia-Pacific, with the rest from Europe.

More About Our FN ML Model...

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

To train our stocks FN 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 FN 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 FN 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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