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as of 05-15-2026 3:39pm EST

$2.29
+$0.06
+2.93%
Stocks Health Care Biotechnology: Pharmaceutical Preparations Nasdaq

Pyxis Oncology Inc is a clinical-stage oncology company focused on developing therapies for patients with solid tumors, with an initial emphasis on head and neck squamous cell carcinoma. Its product candidate, micvotabart pelidotin (MICVO, formerly PYX-201), is an investigational antibody-drug conjugate that targets extradomain-B fibronectin (EDB+FN), a component of the tumor extracellular matrix that is expressed in tumors and minimally present in normal tissues. MICVO consists of a fully human monoclonal antibody linked to a microtubule inhibitor payload, designed to bind within the tumor microenvironment and release its payload to kill cancer cells directly, affect nearby cells through a bystander effect, and induce immunogenic cell death, supporting enhanced anti-tumor activity.

Frequently Asked Questions

Learn more about our PYXS ML prediction model

What parameters are used to train the PYXS ML model?

Our stocks PYXS ML model is trained using historical data with over 25 parameters, including volume indicators, volatility indicators, momentum indicators, trend indicators, and other technical metrics.

How often is the PYXS ML model updated?

We update our ML model weekly or biweekly (depending on market capitalization) using TensorFlow, typically over the weekend to ensure the most current predictions.

Why might the model accuracy vary?

Our current data provider offers limited historical data, which can impact accuracy. As we continue to gather more data and add additional indicators, we expect the model's accuracy to improve over time.

How can I contribute data to improve accuracy?

We greatly appreciate contributions! Please contact us at info@finquota.com to discuss how you can help improve our models.

Are shorter timeframe predictions available?

Yes, we offer predictions for strategy purposes with shorter intervals including 1 minute, 2 minutes, 5 minutes, 15 minutes, and 30 minutes timeframes.

Should I use this for financial decisions?

Our ML model is designed for educational purposes only and should not be used as the sole basis for financial decisions. Always consult with a qualified financial advisor before making any investment decisions.

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