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as 11-21-2024 11:36am EST

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Stocks

Finance

Property-Casualty Insurers

Nasdaq

Markel's primary business is property and casualty insurance. The company focuses primarily on specialty lines, ranging from areas such as executive liability to commercial equine insurance. The acquisition of Alterra in 2013 added substantial reinsurance operations, which now account for a little less than 15% of premiums. The company uses capital generated by its insurance operations to buy noninsurance operations in diverse areas, such as bakery equipment manufacturing and residential homebuilding.

More About Our MKL ML Model...

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

To train our stocks MKL 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 MKL 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 MKL 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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