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as of 12-15-2025 3:52pm EST

$5.58
$0.02
-0.45%
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Five Point Holdings LLC is an owner and developer of mixed-use, master-planned communities in California. It is engaged in developing new communities that, in addition to homesites, include commercial, retail, educational, and recreational elements, as well as civic areas, parks, and open spaces. Its three reportable segments are Valencia, San Francisco, and Great Park. It derives the majority of revenue from the Great Park segment which includes Great Park Neighborhoods being developed adjacent to and around the Orange County Great Park, a metropolitan park under construction in Orange County, California.

Frequently Asked Questions

Learn more about our FPH ML prediction model

What parameters are used to train the FPH ML model?

Our stocks FPH ML model is trained using historical data with over 25 parameters, including volume indicators, volatility indicators, momentum indicators, trend indicators, and other technical metrics.

How often is the FPH ML model updated?

We update our ML model weekly or biweekly (depending on market capitalization) using TensorFlow, typically over the weekend to ensure the most current predictions.

Why might the model accuracy vary?

Our current data provider offers limited historical data, which can impact accuracy. As we continue to gather more data and add additional indicators, we expect the model's accuracy to improve over time.

How can I contribute data to improve accuracy?

We greatly appreciate contributions! Please contact us at info@finquota.com to discuss how you can help improve our models.

Are shorter timeframe predictions available?

Yes, we offer predictions for strategy purposes with shorter intervals including 1 minute, 2 minutes, 5 minutes, 15 minutes, and 30 minutes timeframes.

Should I use this for financial decisions?

Our ML model is designed for educational purposes only and should not be used as the sole basis for financial decisions. Always consult with a qualified financial advisor before making any investment decisions.

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