MTG
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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
undefined (MTG) Business Model and Operations Summary
MGIC Investment Corporation, through its subsidiaries, provides private mortgage insurance, other mortgage credit risk management solutions, and ancillary services to lenders and government sponsored entities in the United States, Puerto Rico, and Guam. The company offers primary mortgage insurance that provides mortgage default protection on individual loans, as well as covers unpaid loan principal, delinquent interest, and various expenses associated with the default and subsequent foreclosure. It also provides contract underwriting services, as well as reinsurance. The company serves originators of residential mortgage loans, including savings institutions, commercial banks, mortgage brokers, credit unions, mortgage bankers, and other lenders. MGIC Investment Corporation was founded in 1957 and is headquartered in Milwaukee, Wisconsin.
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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