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as 06-12-2024 2:32pm EST

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Stocks

Finance

Life Insurance

Nasdaq

MetLife is one of the largest life insurers in the us by assets and provides a variety of insurance and financial services products. The company is organized into five segments: us, Asia, Latin America, EMEA, and MetLife Holdings. The U.S. business contributes around 50% of earnings and is broken into the group benefits segment and the retirement solutions segment. The Asia segment contributes around 22% of earnings and is mainly composed of the Japan business with increasing contributions from India, China, and Bangladesh. The company also holds leading market positions in Mexico and Chile with the Latin America segment contributing around 13% of earnings. The EMEA and the MetLife segments contribute around 4% and 11% of earnings, respectively.

More About Our MET ML Model...

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

To train our stocks MET 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 MET 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 MET 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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