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as of 04-02-2026 4:00pm EST

$1.13
+$0.12
+11.88%
Stocks Technology Computer Software: Programming Data Processing Nasdaq

Cardlytics Inc is a commerce media platform that is designed to make commerce smarter and rewarding for everyone. At the core of its commerce media platform is the financial media network that it runs within its partners' digital channels, which includes online and mobile applications (the Cardlytics platform). Additionally, it operates an identity resolution platform that utilizes point-of-sale (POS) data, including product-level purchase data, to enable marketers to perform analytics and targeted loyalty marketing and also measure the impact of their marketing (the Bridg platform). It operates in three segments: the Cardlytics platform in the U.S.; the Cardlytics platform in the U.K.; and the Bridg platform. The majority of the revenue is derived from the Cardlytics platform.

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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