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as 06-14-2024 4:00pm EST

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Farmland Partners Inc owns and seeks to acquire high-quality farmland throughout North America. The company is an internally managed real estate company which owns and contracts farmland and storage facilities located across the United States. Majority of the properties in its portfolio are used to grow primary crops, such as corn, soybeans, wheat, rice and cotton, and rest to produce specialty crops, such as almonds, citrus, blueberries, and vegetables. The company generates its revenues through the rent it receives from its tenants.

More About Our FPI ML Model...

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

To train our stocks FPI 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 FPI 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 FPI 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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