Cango CANG
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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
Cango (CANG) Business Model and Operations Summary
Cango Inc. operates an automotive transaction service platform that connects dealers, original equipment manufacturer, financial institutions, car buyers, and other industry participants in the People's Republic of China. The company offers automobile trading solutions, including car sourcing, logistics, and warehousing support for dealers; and facilitation of car purchases for car buyers. It also facilitates automotive financing services that include facilitating financing transactions from financial institutions to car buyers; and after-market services to car buyers, which includes facilitating the sale of insurance policies from insurance brokers or companies. The company was founded in 2010 and is headquartered in Shanghai, the People's Republic of China.
Key Insights
Cango (CANG) Core Market Data and Business Metrics
Latest Closing Price
$4.55Market Cap
$502.33 MillionAverage Trade Volume
303,379 SharesTotal Outstanding Shares
134.60 Million SharesCEO
Mr. Jiayuan LinTotal Employees
217IPO Date
July 26, 2018Primary Exchange
New York Stock Exchange
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 |
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