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as 11-21-2024 11:33am EST

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Stocks

NYSE

Dayforce provides payroll and human capital management solutions targeting clients with 100-100,000 employees. Following the 2012 acquisition of Dayforce, Dayforce pivoted away from its legacy on-premises Bureau business to become a cloud HCM provider. As of fiscal 2022, about 80% of group revenue was derived from the flagship Dayforce platform geared toward enterprise clients. The remaining revenue is about evenly split between cloud platform Powerpay, targeting small businesses in Canada, and legacy Bureau products.

More About Our DAY ML Model...

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

To train our stocks DAY 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 DAY 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 DAY 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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