Li Auto LI
$
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
Li Auto (LI) Business Model and Operations Summary
Li Auto Inc. operates in the energy vehicle market in the People's Republic of China. It designs, develops, manufactures, and sells premium smart electric vehicles. The company's product line comprises MPVs and sport utility vehicles. It offers sales and after sales management, and technology development and corporate management services, as well as purchases manufacturing equipment. The company offers its products through online and offline channels. The company was formerly known as Leading Ideal Inc. and changed its name to Li Auto Inc. in July 2020. Li Auto Inc. was founded in 2015 and is headquartered in Beijing, the People's Republic of China.
Key Insights
Li Auto (LI) Core Market Data and Business Metrics
Latest Closing Price
$28.34Market Cap
$28.62 BillionAverage Trade Volume
6,329,853 SharesTotal Outstanding Shares
1.79 Billion SharesCEO
Mr. Xiang LiTotal Employees
32,248IPO Date
July 30, 2020Primary 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
Execution Date | Split Amount |
---|