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as 07-26-2024 4:00pm EST

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Stocks

Finance

Finance: Consumer Services

Nasdaq

Along with Experian and TransUnion, Equifax is one of the leading credit bureaus in the United States. Equifax's credit reports provide credit histories on millions of consumers, and the firm's services are critical to lenders' credit decisions. In addition, over 40% of the firm's revenue comes from workforce solutions, which provides income verification and employer human resources services. Equifax generates just over 20% of its revenue from outside the United States.

More About Our EFX ML Model...

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

To train our stocks EFX 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 EFX 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 EFX 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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