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as 06-14-2024 4:00pm EST

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Forestar Group Inc is a residential lot development company with operations across the United States. The core business segment for the company is real estate which generates all of it's revenues. The firm fundamentally acquires entitled real estate and develops it into finished residential lots for sale to homebuilders with a strategic focus on asset turns and efficiency. Single-family residential communities account for the majority of their real estate projects. The company utilizes a lower-risk business model mainly by investing in short duration, phased development projects.

More About Our FOR ML Model...

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

To train our stocks FOR 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 FOR 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 FOR 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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