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as 06-20-2024 4:00pm EST

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Ameriprise Financial is a major player in the us market for asset and wealth management, with around $1.4 trillion in total assets under management and administration at the end of 2023. With about 10,000 advisors, Ameriprise has one of the largest branded advisor networks in the industry. About 80% of the company's revenue comes from its asset and wealth management segments. Ameriprise has reduced its exposure to insurance with the sale of its auto and home insurance business in 2019 and the exit of the sale of its proprietary fixed annuities in 2020.

More About Our AMP ML Model...

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

To train our stocks AMP 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 AMP 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 AMP 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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