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as 10-30-2025 9:33am EST

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Hamilton Lane Inc is a private markets investment firm globally, providing solutions to institutional and private wealth investors around the world. Dedicated exclusively to private markets investing for more than 30 years, the firm currently employs approximately 750 professionals operating in offices throughout North America, Europe, Asia Pacific, and the Middle East. It has approximately $986 billion in assets under management and supervision, composed of nearly $141 billion in discretionary assets and more than $845 billion in non-discretionary assets. The group specializes in building flexible investment programs that provide clients access to the full spectrum of private markets strategies, sectors, and geographies.

More About Our HLNE ML Model...

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

To train our stocks HLNE 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 HLNE 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 HLNE 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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