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as 06-21-2024 4:00pm EST

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Nasdaq

AllianceBernstein provides investment management services to institutional (43% of assets under management), retail (40%), and private (17%) clients through products that includes mutual funds, hedge funds, and separately managed accounts. At the end of January 2024, AB had $726 billion in managed assets, composed primarily of fixed-income (39% of AUM) and equity (43%) strategies, with other investments (made up of asset allocation services and certain other alternative investments) accounting for the remainder. The company also provides sell-side research and brokerage services through its Sanford Bernstein subsidiary (which has been put in available-for-sale status following the joint venture agreement with Societe Generale).

More About Our AB ML Model...

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

To train our stocks AB 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 AB 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 AB 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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