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as 03-28-2025 4:00pm EST

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Stocks

Technology

EDP Services

Nasdaq

Informatica Inc provides artificial intelligence (AI) enabled data management products on a cloud native platform that connects, manages, and unifies data across multi-vendor, multi-cloud, and hybrid systems at an enterprise scale. The company's platform includes a suite of interoperable data management products that leverage the shared services and metadata of the underlying platform, including products for Data Catalog, Data Integration & Engineering, API & Application Integration, Data Quality and Observability, Master Data Management, Customer and Business 360 Applications, Governance, Access and Privacy, and Data Marketplace., allowing customers to track and understand their data. Geographically, the company generates maximum revenue from North America.

More About Our INFA ML Model...

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

To train our stocks INFA 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 INFA 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 INFA 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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