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as 06-14-2024 4:00pm EST

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Stocks

Telecommunications

Computer Communications Equipment

Nasdaq

Arista Networks is a networking equipment provider that primarily sells Ethernet switches and software to data centers. Its marquee product is its extensible operating system, or EOS, that runs a single image across every single one of its devices. The firm operates as one reportable segment. It has steadily gained market share since its founding in 2004, with a focus on high-speed applications. Arista counts Microsoft and Meta Platforms as its largest customers and derives roughly three quarters of its sales from North America.

More About Our ANET ML Model...

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

To train our stocks ANET 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 ANET 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 ANET 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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