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as 06-20-2024 4:00pm EST

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Stocks

Consumer Discretionary

Telecommunications Equipment

Nasdaq

Cogent carries over one fifth of the world's internet traffic over its network and is a broadband provider for businesses. Cogent's corporate customers are in high-rise office buildings; the firm provides them with two types of connections: dedicated internet access, which connects them to the internet, and virtual private networking, which offers an internal network for employees in different locations. Cogent's corporate customers are exclusively in North America and account for over half of the firm's revenue. Cogent's netcentric customers include internet service providers and content providers, to which Cogent provides internet transit. They hand traffic to Cogent in data centers and rely on Cogent to deliver it. About half of netcentric revenue is from outside the US.

More About Our CCOI ML Model...

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

To train our stocks CCOI 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 CCOI 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 CCOI 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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