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as 06-18-2024 9:30am EST

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Stocks

Technology

Computer Software: Prepackaged Software

Nasdaq

Fastly operates a content delivery network, which is necessary for entities to provide faster and more reliable online content. Fastly's strategy differs from traditional CDNs, which focus on locating servers in as many locations as possible to store copies of files that consumers most use. Fastly is in far fewer sites than traditional CDNs, but it houses servers in the most network-dense data centers. Instead of simply storing static content, it allows its customers to program on its platform, enabling edge computing and better service of the more dynamic content that was traditionally not well served by CDNs. Fastly gears its service to the largest, most sophisticated enterprises rather than small companies and generated nearly three fourths of its revenue in the United States in 2023.

More About Our FSLY ML Model...

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

To train our stocks FSLY 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 FSLY 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 FSLY 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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