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as 11-12-2024 4:00pm EST

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Stocks

Health Care

Biotechnology: Pharmaceutical Preparations

Nasdaq

Theriva Biologics Inc is a clinical-stage pharmaceutical company developing a novel oncolytic adenovirus (OV) platform to address devastating cancers with high unmet needs. It is a lead clinical-stage program VCN-01, designed to break down the tumor stroma, and its preclinical-stage program VCN-11 leverages its proprietary Albumin Shield Technology to protect systemically administered oncolytic viruses from the host immune system.

More About Our TOVX ML Model...

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

To train our stocks TOVX 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 TOVX 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 TOVX 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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