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as 09-18-2025 12:33pm EST

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Stocks

Finance

Investment Bankers/Brokers/Service

Nasdaq

LPL Financial is the largest US independent broker-dealer, with nearly 29,000 financial advisors affiliated with its platform and roughly 10 million associated customer accounts at the end of 2024. The firm earns the bulk of its profit from interest income earned on client cash balances and from advisory fees and commissions tied to the $1.7 trillion in assets under management or advisory on its platform at year-end 2024. LPL specializes in the provision of turnkey wealth management services for affiliated independent advisors, but maintains a diverse array of affiliation modalities, running the gamut from more traditional employee models to a pure RIA custody approach. It earns tuck-in revenue from recordkeeping fees and the provision of software tools and services to its advisor base.

More About Our LPLA ML Model...

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

To train our stocks LPLA 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 LPLA 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 LPLA 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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