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as 06-21-2024 4:00pm EST

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Stocks

Finance

Investment Bankers/Brokers/Service

Nasdaq

Morgan Stanley is a global investment bank whose history, through its legacy firms, can be traced back to 1924. The company has institutional securities, wealth management, and investment management segments. The company had over $4 trillion of client assets as well as over 80,000 employees at the end of 2022. Approximately 50% of the company's net revenue is from its institutional securities business, with the remainder coming from wealth and investment management. The company derives about 30% of its total revenue outside the Americas.

More About Our MS ML Model...

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

To train our stocks MS 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 MS 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 MS 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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