SLF
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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 (SLF) Business Model and Operations Summary
Sun Life Financial Inc., a financial services company, provides insurance, wealth, and asset management solutions to individuals and corporate clients worldwide. It offers term and permanent life, as well as personal health, dental, critical illness, long-term care, and disability insurance products. The company also provides reinsurance products; investment counselling and portfolio management services; mutual funds and segregated funds; trust and banking services; real estate property brokerage and appraisal services; and merchant banking services. It distributes its products through direct sales agents, managing and independent general agents, financial intermediaries, broker-dealers, banks, pension and benefits consultants, and other third-party marketing organizations. The company was founded in 1871 and is headquartered in Toronto, Canada.
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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