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as 05-30-2025 4:00pm EST

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Stocks

Technology

Computer Software: Prepackaged Software

Nasdaq

Founded in 1998, Paycom is a human capital management software-as-a-service provider addressing customer requirements surrounding payroll, talent acquisition, talent management, HR management, as well as time and labor. The company primarily services midsize businesses within the United States, targeting businesses with 50-10,000 employees. The company primarily generates revenue through the sale of subscriptions providing access to its HCM platform. To a lesser extent, the company also generates revenue from implementation services provided to customers as well as interest income generated from customer funds. As of fiscal 2024, the company serviced slightly over 37,500 customers and stored data on over 7 million employees.

More About Our PAYC ML Model...

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

To train our stocks PAYC 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 PAYC 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 PAYC 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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