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as 06-20-2024 4:00pm EST

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Stocks

Telecommunications

Cable & Other Pay Television Services

Nasdaq

Charter is the product of the 2016 merger of three cable companies, each with a decades-long history in the business: Legacy Charter, Time Warner Cable, and Bright House Networks. The firm now holds networks capable of providing television, internet access, and phone services to roughly 57 million US homes and businesses, around 40% of the country. Across this footprint, Charter serves 30 million residential and 2 million commercial customer accounts under the Spectrum brand, making it the second-largest US cable company behind Comcast. The firm also owns, in whole or in part, sports and news networks, including Spectrum SportsNet (long-term local rights to Los Angeles Lakers games), SportsNet LA (Los Angeles Dodgers), SportsNet New York (New York Mets), and Spectrum News NY1.

More About Our CHTR ML Model...

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

To train our stocks CHTR 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 CHTR 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 CHTR 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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