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as 11-08-2024 4:00pm EST

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Stocks

Health Care

Medical/Dental Instruments

Nasdaq

Inspira Technologies Oxy BHN Ltd is a specialty medical device company engaged in the research, development, manufacture, and marketing of proprietary respiratory support technology that is intended to provide an alternative to invasive mechanical ventilation (MV), which is the standard of care today for the treatment of respiratory failure. The respiratory care devices market is segmented geographically into North America, Europe, the Asia Pacific, Latin America, and the Middle East and Africa.

More About Our IINN ML Model...

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

To train our stocks IINN 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 IINN 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 IINN 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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