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as of 11-28-2025 12:38pm EST

$14.77
+$0.13
+0.92%
Stocks Technology Computer Software: Programming Data Processing Nasdaq

Magnite is a supply-side advertising platform that provides technology and yield management solutions to content publishers, enabling them to monetize their digital advertising inventory. Magnite receives a percentage of all advertising inventory that it sells. 43% of Magnite's revenue is derived from connected television, or CTV, streaming platforms, 40% from mobile applications, and the remainder from general websites. Beyond the typical monetization responsibilities inherent to an SSP, Magnite also provides upstream advertising servers to CTV publishers, allowing them to have granular control over direct-sold, programmatic guaranteed, and open-auction logic. Magnite competes with other independent SSPs, supply path optimization solutions, and closed ecosystems like Meta.

Frequently Asked Questions

Learn more about our MGNI ML prediction model

What parameters are used to train the MGNI ML model?

Our stocks MGNI 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 MGNI 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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