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as 06-14-2024 4:00pm EST

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Stocks

Finance

Life Insurance

Nasdaq

Aegon is a life insurance and long-term savings company listed in the Netherlands. It listed on the Amsterdam Stock Exchange in the 1980s and now has mature operations in the United States, United Kingdom, and four growth markets of Brazil, China, Portugal, and Spain. Over recent years, Aegon has been moving through a substantial transformation program where management has sought to divest noncore operations and improve the risk profile of the business by separating the company into strategic and financial assets. Financial assets are the parts of the business that are now being run down. Here, Aegon is looking to cycle out of highly capital-consumptive and volatile earnings products and recycle funds into capital-light and more predictable strategic businesses.

More About Our AEG ML Model...

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

To train our stocks AEG 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 AEG 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 AEG 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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