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as 06-14-2024 4:00pm EST

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Nasdaq

Invesco provides investment-management services to retail (66% of managed assets) and institutional (34%) clients. At the end of March 2024, the firm had $1.663 trillion in assets under management spread among its equity (54% of AUM), balanced (4%), fixed-income (20%), alternative investment (10%), and money market (12%) operations. Passive products account for 40% of Invesco's total AUM, including 65% of the company's equity operations and 15% of its fixed-income platform. Invesco's U.S. retail business is one of the 10 largest nonproprietary fund complexes in the country. The firm also has a meaningful presence outside of North America, with 29% of its AUM sourced from Europe, Africa, and the Middle East (14%) and Asia (15%).

More About Our IVZ ML Model...

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

To train our stocks IVZ 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 IVZ 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 IVZ 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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