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as 06-14-2024 4:00pm EST

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Hudson Pacific Properties Inc is a real estate investment trust that acquires, operates, and owns office buildings and media and entertainment properties, such as sound stages, on America's West Coast. The company focuses on developed, urban markets in Northern California, Southern California, and the Pacific Northwest. In terms of total square footage, the vast majority of Hudson Pacific's real estate portfolio is composed of office properties located in the Greater Seattle, San Francisco, and Los Angeles areas. The company operates in two reportable segments; office properties & related operations; and studio properties & related operations. The majority of revenue is derived from the office properties & related operations segment.

More About Our HPP ML Model...

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

To train our stocks HPP 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 HPP 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 HPP 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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