Aurora Innovation AUR
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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
Aurora Innovation (AUR) Business Model and Operations Summary
Aurora Innovation, Inc. operates as a self-driving technology company in the United States. It focuses on developing Aurora Driver, a platform that brings a suite of self-driving hardware, software, and data services together to adapt and interoperate passenger vehicles, light commercial vehicles, and trucks. The company was founded in 2017 and is headquartered in Pittsburgh, Pennsylvania.
Key Insights
Aurora Innovation (AUR) Core Market Data and Business Metrics
Latest Closing Price
$6.06Market Cap
$10.88 BillionAverage Trade Volume
18,608,766 SharesTotal Outstanding Shares
1.42 Billion SharesCEO
Mr. Christopher Urmson Ph.D.Total Employees
1,800IPO Date
November 4, 2021SIC Description
Services-computer Integrated Systems DesignPrimary Exchange
NASDAQHeadquarters
1654 Smallman St., Pittsburgh, PA, 15222
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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