Market research
RVSN Rail Vision Ltd. Ordinary Share
NASDAQ USD Industrials
Latest close
As of 30 Oct 2026
Test a moving-average rule with historical data.
Market facts
- Market cap
- 7M
- P/E ratio
- Not available
- Analyst target
- 10
- Dividend yield
- Not available
- Beta
- -0.31
Profile
Instrument facts
- Exchange
- NASDAQ
- Currency
- USD
- Sector
- Industrials
- Industry
- Railroads
- ISIN
- IL0011475949
- Market cap
- 7M
- P/E ratio
- Not available
- Analyst target
- 10
- Dividend yield
- Not available
- Beta
- -0.31
About
About Rail Vision Ltd. Ordinary Share
Rail Vision Ltd. designs, develops, assembles, and sells railway detection systems for railway operational safety, efficiency, and predictive maintenance in Israel, Latin America, Central America, and the United States. The company's railway detection systems include various cameras, such as optics, visible light spectrum cameras (video), and thermal cameras that transmit data to a ruggedized on-board computer. It also offers main line systems for the safety of train operations, prevention of collisions, and reduction of downtime; railway detection systems; and shunting yard systems for shunting operations. In addition, the company provides data Services, as well as maintenance and predictive maintenance systems; and DASH, a cloud-based SaaS platform designed for fleet and infrastructure, analysis, and reports. Rail Vision Ltd. was incorporated in 2016 and is headquartered in Ra'anana, Israel.
Research context
Rail Vision Ltd. Ordinary Share appears in PyInvesting’s US Stock catalogue. The price history above describes this recorded instrument; it does not by itself identify a company’s business or establish a continuous investment return.
- Currency
- USD
- Sector
- Industrials
- Industry
- Railroads
These are the latest stored catalogue classifications, not a historical classification snapshot. An issuer description, classification effective date or currency may be unavailable. Check the issuer’s own disclosures and the observation dates before using these fields for research.
Review backtest assumptions and evidence before treating a chart or stored history as a research result.
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