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Logo HP Inc.

HPQ

HP Inc.

as 06-14-2024 4:00pm EST

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Stocks

Technology

Computer Manufacturing

Nasdaq

HP (formerly Hewlett-Packard) is a behemoth in the PC and printing markets. It has focused on these markets since it exited IT infrastructure in 2015 with the split from Hewlett Packard Enterprise. HP focuses on the commercial market, but maintains sales of consumer devices and printers. The firm has a broad and global customer base, with only one third of sales coming from the US. HP completely outsources manufacturing and relies heavily on channel partners for its sales and marketing.

More About Our HPQ ML Model...

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

To train our stocks HPQ 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 HPQ 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 HPQ 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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