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as of 12-03-2025 4:00pm EST

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Rail Vision Ltd is a development-stage technology company that is engaged in the design, development, and assembly of railway detection systems designed to solve the challenges in railway operational safety, efficiency, and predictive maintenance. Its railway detection systems include different types of cameras, including optics, visible light spectrum cameras (video), and thermal cameras that transmit data to a ruggedized onboard computer which is designed to be suitable for the rough environment of a train's locomotive. It has developed its railway detection and systems to save lives, increase efficiency, and dramatically reduce expenses for the railway operator.

Frequently Asked Questions

Learn more about our RVSN ML prediction model

What parameters are used to train the RVSN ML model?

Our stocks RVSN 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 RVSN 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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