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as 07-23-2024 1:35pm EST

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Rexford Industrial Realty Inc is a real estate investment trust engaged in the acquisition, ownership, and operation of industrial properties in Southern California. The company mainly focuses on leasing facilities in infill markets or relatively wealthy urban areas with a general scarcity of developable land. The vast majority of Rexford's real estate portfolio, in terms of square footage, revenue generation, and total value, comprises light manufacturing and distribution warehouse buildings located in Los Angeles and San Diego. The company's tenants are firms in the wholesale and retail, light manufacturing, industrial equipment, and food and beverage industries.

More About Our REXR ML Model...

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

To train our stocks REXR 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 REXR 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 REXR 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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