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as 11-20-2024 4:00pm EST

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Stocks

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Property-Casualty Insurers

Nasdaq

Assurant Inc offers a range of property-casualty, health, employee benefit, and warranty insurance to a client base made up of individuals and institutions. Its segments are Global Housing, Global lifestyle, Corporate and Other. Global Housing provides lender-placed homeowners insurance, lender-placed manufactured housing insurance and lender-placed flood insurance; renters insurance and related products; and voluntary manufactured housing insurance, voluntary homeowners insurance and other specialty products. Global Lifestyle, the key revenue-generating segment, provides mobile device solutions and extended service products and related services for mobile devices, consumer electronics and appliances; vehicle protection; and credit protection and other insurance products.

More About Our AIZ ML Model...

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

To train our stocks AIZ 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 AIZ 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 AIZ 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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