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as 08-29-2025 2:31pm EST

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Nasdaq

Crescent Biopharma Inc is a biopharmaceutical company developing novel therapeutics to treat solid tumors, led by CR-001, a proprietary anti-PD-1/anti-VEGF bispecific antibody. Crescent believes CR-001 has the potential to deliver improved clinical efficacy and safety over pembrolizumab. CR-001 is a new molecular entity designed to replicate the functional properties of ivonescimab, a cooperative bispecific anti-PD-1/anti-VEGF antibody in development by Akeso Biopharma and Summit Therapeutics that delivered improved efficacy in a head-to-head Phase 3 clinical trial versus Keytruda in non-small cell lung cancer. Crescent is advancing its second and third programs, CR-002 and CR-003, which are antibody drug conjugates (ADCs) against validated oncology targets.

More About Our CBIO ML Model...

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

To train our stocks CBIO 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 CBIO 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 CBIO 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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