KB Financial Group KB
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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
KB Financial Group (KB) Business Model and Operations Summary
KB Financial Group Inc. is a financial holding company in Korea. The company operations include Kookmin Bank, one of the commercial banks in Korea. The company's subsidiaries collectively engage in a broad range of businesses, including commercial banking, credit cards, asset management, non-life and life insurance, capital markets activities, and international banking and finance. The company's segments include the Banking business, Securities business, Non-life Insurance business, Credit card business, and Life Insurance business. The Group generates the majority of its revenue from the Banking business.
Key Insights
KB Financial Group (KB) Core Market Data and Business Metrics
Latest Closing Price
$74.75Market Cap
$27.01 BillionTotal Outstanding Shares
393.53 Million SharesTotal Employees
126IPO Date
November 1, 2001Primary 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
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