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as of 12-03-2025 3:57pm EST

$57.16
+$1.16
+2.07%
Stocks Industrials Office Equipment/Supplies/Services Nasdaq

Crane NXT Co is a industrial technology company that provides proprietary and trusted technology solutions to secure, detect, and authenticate what matters to its customers. It is a pioneer in proprietary micro-optics technology for securing physical products, and its sophisticated electronic equipment and associated software leverages proprietary core capabilities with detection and sensing technologies. The company operates in two segments which are Crane Payment Innovations (CPI) and Security and Authentication Technologies.

Frequently Asked Questions

Learn more about our CXT ML prediction model

What parameters are used to train the CXT ML model?

Our stocks CXT 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 CXT 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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