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as 09-12-2025 4:00pm EST

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Stocks

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Morgan Stanley is a massive global financial services firm, with offices in 42 countries and more than 80,000 employees as of year-end 2024. The firm cut its teeth in investment banking and institutional trading, where it maintains a strong presence today, but generates the lion share of its income from wealth and asset management franchises, where it boasted $7.9 trillion in client assets at the end of its most recent fiscal year. After reincorporation as a bank holding company in the wake of the great financial crisis, Morgan Stanley also boasts a top 10 banking franchise by deposits, with nearly $400 billion in customer deposits, predominately attributable to cash sweeps from its wealth management and brokerage businesses.

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 info@finquota.com

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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