China Automotive Systems CAAS
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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
China Automotive Systems (CAAS) Business Model and Operations Summary
China Automotive Systems Inc is a holding company. The firm through its subsidiary is a supplier of power steering systems and components to China's automotive industry. Its product offering encompasses a full range of auto parts incorporated into steering systems for both passenger automobiles and commercial vehicles. The company offers four separate series, models of power steering including rack and pinion power steering, integral power steering, electronic power steering and manual steering, steering columns, steering oil pumps, and steering hoses. Geographically, it derives a majority of its revenue from China.
Key Insights
China Automotive Systems (CAAS) Core Market Data and Business Metrics
Latest Closing Price
$4.08Market Cap
$125.21 MillionTotal Outstanding Shares
30.17 Million SharesTotal Employees
4,313IPO Date
March 24, 2003SIC Description
Motor Vehicle Parts & AccessoriesPrimary Exchange
NASDAQHeadquarters
No. 1, Henglong Road, Hubei Province, F4, XXXXX
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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