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as 12-20-2024 4:00pm EST

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Stocks

Consumer Discretionary

Business Services

Nasdaq

Verisk Analytics is the leading provider of statistical, actuarial, and underwriting data for the United States' property and casualty insurance industry. Verisk leverages a vast contributory database and proprietary data assets to develop analytical tools helping insurance providers to better assess and price risk, achieve operational efficiency and optimize claim settlement processes. While Verisk also offers tools to quantify costs after loss events occur and to detect fraudulent activity, it is expanding into adjacent markets of life insurance, marketing, and non-US operations.

More About Our VRSK ML Model...

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

To train our stocks VRSK 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 VRSK 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 VRSK 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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