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as 06-14-2024 4:00pm EST

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Stocks

Technology

Computer Software: Prepackaged Software

Nasdaq

HubSpot provides a cloud-based marketing, sales, and customer service software platform referred to as the growth platform. The applications are available ala carte or packaged together. HubSpot's mission is to help companies grow better and has expanded from its initial focus on inbound marketing to embrace marketing, sales, and service more broadly. The company was founded in 2006, completed its initial public offering in 2014, and is headquartered in Cambridge, Massachusetts.

More About Our HUBS ML Model...

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

To train our stocks HUBS 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 HUBS 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 HUBS 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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