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as 07-26-2024 4:00pm EST

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Stocks

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Property-Casualty Insurers

Nasdaq

Universal Insurance Holdings Inc is a private personal residential homeowner insurance company. The company develops, markets, and underwrites insurance products for consumers predominantly in the personal residential homeowners' lines of business and performs substantially all other insurance-related services for its primary insurance entities, including risk management, claims management, and distribution. The company generates revenue from the collection of premiums. It operates within Florida and across the United States. The company's primary insurance subsidiaries, (UPCIC) and (APPCIC) provide insurance for personal residential: homeowners, renters/tenants, condo unit owners, and other related coverages.

More About Our UVE ML Model...

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

To train our stocks UVE 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 UVE 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 UVE 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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