SPNT
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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 (SPNT) Business Model and Operations Summary
SiriusPoint Ltd. provides multi-line insurance and reinsurance products and services worldwide. The company operates through two segments, Reinsurance, and Insurance & Services. The Reinsurance segment provides coverage to various product lines, which includes aviation and space, casualty, contingency, credit and bond, marine and energy, mortgage, and property to insurance and reinsurance companies, government entities, and other risk bearing vehicles. The Insurance & Services segment offers coverage to various product lines comprising accident and health, environmental, workers' compensation, and other lines of business, including a cross section of property and casualty lines. The company was formerly known as Third Point Reinsurance Ltd. and changed its name to SiriusPoint Ltd. in February 2021. SiriusPoint Ltd. was incorporated in 2011 and is headquartered in Pembroke, Bermuda.
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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