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as 06-21-2024 4:00pm EST

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Morningstar Inc is a provider of independent investment research to financial advisers, asset managers, and investors. The company focuses its operations on two core sectors: data and research. It offers data on investments such as mutual funds, stocks, exchange-traded funds, closed-end funds, separate accounts, and variable annuities. Further, the company tracks real-time market data of equity, derivative, currency exchanges, and other investments. In its research operation, Morningstar offers analyst research on passive and active mutual funds, alternative funds, and college saving plans. Morningstar's largest share of revenue is generated in the United States of America.

More About Our MORN ML Model...

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

To train our stocks MORN 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 MORN 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 MORN 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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