Foresight Autonomous FRSX
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Relative Strength Index (RSI)
- The Relative Strength Index (RSI) is a momentum oscillator that measures the speed and change of price movements. It is typically used to identify overbought or oversold conditions in financial markets.
- The RSI is calculated using the following formula:
RSI = 100 - (100 / (1 + RS))
Where RS is the ratio of the average gains to the average losses over a specified period.
- The default time period used is 14 days.
- RSI values range between 0 and 100.
RSI values above 70 are considered overbought (indicating a potentially opportune time to sell)
RSI values below 30 are considered oversold (indicating a potentially opportune time to buy)
RSI is not a perfect indicator and should be used in conjunction with other technical analysis tools, this is for informational purposes only and is not a substitute for professional financial advice.
About
Foresight Autonomous (FRSX) Business Model and Operations Summary
Foresight Autonomous Holdings Ltd is a technology company engaged in the design, development and commercialization of vision systems for the automotive industry. The company develops both in-line-of-sight vision systems and beyond-line-of-sight cellular-based applications through its wholly-owned subsidiaries. Its systems are designed to improve driving safety by enabling accurate and reliable threat detection while ensuring the lowest rates of false alerts. Foresight is pursuing several markets and believes its modern systems will revolutionize automotive safety by providing an automotive-grade, cost-effective platform.
Key Insights
Foresight Autonomous (FRSX) Core Market Data and Business Metrics
Latest Closing Price
$0.5346Market Cap
$10.98 MillionTotal Outstanding Shares
624.68 Million SharesTotal Employees
72IPO Date
June 15, 2017Primary Exchange
NASDAQ
Earnings Reports
Expected vs. Actual Quarterly Earnings-Per-Share & Revenue
Short Volume
Daily short volume activity identifies short-term trading pressure and potential price volatility
Revenue Breakdown
Distribution of revenue across unique business segments & geographies
Historical Stock Splits
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