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as of 12-05-2025 4:00pm EST

$1.10
$0.11
-9.09%
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.

Frequently Asked Questions

Learn more about our CDLX ML prediction model

What parameters are used to train the CDLX ML model?

Our stocks CDLX ML model is trained using historical data with over 25 parameters, including volume indicators, volatility indicators, momentum indicators, trend indicators, and other technical metrics.

How often is the CDLX ML model updated?

We update our ML model weekly or biweekly (depending on market capitalization) using TensorFlow, typically over the weekend to ensure the most current predictions.

Why might the model accuracy vary?

Our current data provider offers limited historical data, which can impact accuracy. As we continue to gather more data and add additional indicators, we expect the model's accuracy to improve over time.

How can I contribute data to improve accuracy?

We greatly appreciate contributions! Please contact us at info@finquota.com to discuss how you can help improve our models.

Are shorter timeframe predictions available?

Yes, we offer predictions for strategy purposes with shorter intervals including 1 minute, 2 minutes, 5 minutes, 15 minutes, and 30 minutes timeframes.

Should I use this for financial decisions?

Our ML model is designed for educational purposes only and should not be used as the sole basis for financial decisions. Always consult with a qualified financial advisor before making any investment decisions.

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