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as 12-18-2024 4:00pm EST

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Stocks

Consumer Discretionary

Business Services

Nasdaq

Paychex is a leading provider of payroll, human capital management, and insurance solutions servicing small and midsize clients primarily in the United States. The company, founded in 1971, services over 745,000 clients and pays 1 in 12 US private-sector workers. Alongside its traditional payroll services, Paychex offers HCM solutions such as benefits administration and time and attendance software, as well as human resources outsourcing and insurance agency services.

More About Our PAYX ML Model...

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

To train our stocks PAYX 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 PAYX 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 PAYX 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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