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as of 11-28-2025 12:30pm EST

$625.74
+$4.34
+0.70%
Stocks Industrials Mining & Quarrying of Nonmetallic Minerals (No Fuels) Nasdaq

Martin Marietta Materials is one of the United States' largest producer of construction aggregates (crushed stone, sand, and gravel). In 2024, Martin Marietta sold 191 million tons of aggregates. Martin Marietta's most important markets include Texas, North Carolina, Colorado, California, and Georgia, accounting for most of its sales. The company also uses its aggregates in its asphalt and ready-mixed concrete businesses. Martin's magnesia specialties business produces magnesia-based chemical products and dolomitic lime.

Frequently Asked Questions

Learn more about our MLM ML prediction model

What parameters are used to train the MLM ML model?

Our stocks MLM 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 MLM 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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