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as 06-20-2024 4:00pm EST

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Employers Holdings Inc provides workers' compensation insurance, to small businesses in low- to medium-hazard industries. Its customers are employers, and the insurance premiums that those employers pay to account for company revenue. Substantially all of the remaining revenue is generated through investments. The company operates exclusively in the United States, and it generates more than half of its business in California. By industry, the company has exposure to restaurants, which account for roughly a fourth of the total premiums the company earns. It operates as a single reportable segment, Insurance Operations, through itswholly owned subsidiaries.

More About Our EIG ML Model...

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

To train our stocks EIG 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 EIG 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 EIG 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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