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as 06-20-2024 4:00pm EST

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Terreno Realty Corp is a real estate investment trust engaged in acquiring, owning, and operating industrial real estate in six coastal U.S. markets: Los Angeles, Northern New Jersey/New York City, San Francisco Bay Area, Seattle, Miami, and Washington, D.C. The company invests in several types of industrial real estate, including warehouse/distribution, flex (including light industrial and research and development), transshipment, and improved land.

More About Our TRNO ML Model...

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

To train our stocks TRNO 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 TRNO 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 TRNO 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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