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as 11-15-2024 4:00pm EST

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Stocks

Technology

Computer Software: Programming Data Processing

Nasdaq

Oblong Inc is a provider of patented multi-stream collaboration products and managed services for video collaboration and network solutions. The company's flagship product Mezzanine is the technology platform that defines computing: simultaneous multi-user, multi-screen, multi-device, and multi-location for dynamic and immersive visual collaboration. Mezzanine transforms routine meetings and workflows into agile, engaging experiences by making data visible and accessible in a collaborative setting. Mezzanine enables multiple, concurrent pieces of content to be shared, manipulated, created, and captured across distance. It serves various industries including aerospace, consulting, executive search, broadcast media, technology, financial services, education, healthcare, real estate.

More About Our OBLG ML Model...

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

To train our stocks OBLG 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 OBLG 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 OBLG 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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