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as 06-20-2024 4:00pm EST

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Stocks

Technology

Computer Software: Prepackaged Software

Nasdaq

Headquartered in Oakland, California, and founded in 2010, Marqeta provides its clients with a card-issuing platform that offers the infrastructure and tools necessary to offer digital, physical, and tokenized payment options without the need for a traditional bank. The company's open APIs are designed to allow third parties like DoorDash, Klarna, and Block to rapidly develop and deploy innovative card-based products and payment services without the need to develop the underlying technology. The company generates revenue primarily through processing and ATM fees for cards issued on its platform.

More About Our MQ ML Model...

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

To train our stocks MQ 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 MQ 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 MQ 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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