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as of 12-01-2025 2:06pm EST

$3.06
+$0.01
+0.27%
Stocks Consumer Discretionary Marine Transportation Nasdaq

Pyxis Tankers Inc is an international maritime transportation company focused on mid-sized eco-vessels for the product tanker and dry-bulk sectors. It owns a fleet that comprises double-hull product tankers employed under a mix of short- and medium-term time charters and spot charters. The fleet owned by the company includes Konkar Ormi, Pyxis Lamda, Konkar Venture, Pyxis Karteria, and others. Each of the vessels in the fleet is capable of transporting refined petroleum products, such as naphtha, gasoline, jet fuel, kerosene, diesel, fuel oil, and other liquid bulk items, such as vegetable oils and organic chemicals. The company operates under two reportable segments, Tanker Vessels, which derive maximum revenue, and Dry-bulk Vessels.

Frequently Asked Questions

Learn more about our PXS ML prediction model

What parameters are used to train the PXS ML model?

Our stocks PXS 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 PXS 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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