Kt KT
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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
Kt (KT) Business Model and Operations Summary
KT is South Korea's largest fixed-line telecom operator, with around 11.5 million fixed-line broadband customers and 9.4 million IPTV customers, and is the second-largest wireless operator with 26 million subscribers. Additionally, it has a number of nontelecom businesses, including real estate, payment processing, artificial intelligence, and IDC/cloud services, many of which are the focus of its growth strategy. The company was formed from the previously government-owned, monopoly telecom business and was listed in 1998. After selling its mobile business in 1994 (forming its mobile competitor, SK Telecom) KT created its own mobile operator in 1997.
Key Insights
Kt (KT) Core Market Data and Business Metrics
Latest Closing Price
$18.86Market Cap
$9.43 BillionTotal Outstanding Shares
252.02 Million SharesTotal Employees
16,927IPO Date
May 25, 1999Primary 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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