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as 06-21-2024 4:00pm EST

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Stocks

Finance

Property-Casualty Insurers

Nasdaq

RLI Corp underwrites property and casualty insurance through its subsidiaries. The company offers insurance coverage in the specialty admitted market, where the products are designed for special risks. It also offers products in the excess and surplus markets, which provides an alternative for customers with risks or loss exposures that generally cannot be written in the standard admitted market. RLI distributes property and casualty insurance through its wholly-owned branch offices that market to wholesale and retail producers. The company's insurance operation segments include Casualty, Property, and Surety and it derives a majority of its revenue from the Casualty segment.

More About Our RLI ML Model...

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

To train our stocks RLI 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 RLI 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 RLI 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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