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as 06-20-2024 4:00pm EST

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Stocks

Technology

Computer Software: Programming Data Processing

Nasdaq

Cardlytics Inc operates an advertising platform within financial institutions' digital channels, which include online, mobile, email, and various real-time notifications. The company operates through segments namely, Cardlytics platform in the U.S. and U.K., and the Bridg platform. The Cardlytics platform segment which generates key revenue, operates a proprietary native bank advertising channel that enables marketers to reach consumers through their trusted and frequently visited online and mobile banking channels. The Bridg platform generates revenue through the sale of subscriptions to the cloud-based customer-data platform and the delivery of professional services like implementation, onboarding, and technical support. The company receives maximum revenue from the United States.

More About Our CDLX ML Model...

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

To train our stocks CDLX 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 CDLX 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 CDLX 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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