Sapiens International SPNS
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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
Sapiens International (SPNS) Business Model and Operations Summary
Sapiens International Corp NV is a provider of software solutions for the insurance industry, with an emerging focus on the financial services sector. The company offers software, solutions, and professional services for property & casualty (P&C); reinsurance; life, pension & annuity (L&A); workers' compensation (WC); medical professional liability (MPL); financial & compliance (F&C); and decision modeling for both insurance and financial markets. The group also provides services for project delivery and implementation services, for its Software Solutions portfolio. Geographically, it operates in the region of North America, Rest of the World, and Europe. It generates revenue from Europe.
Key Insights
Sapiens International (SPNS) Core Market Data and Business Metrics
Latest Closing Price
$28.7Market Cap
$1.57 BillionTotal Outstanding Shares
55.89 Million SharesTotal Employees
4,850IPO Date
May 29, 1992Primary Exchange
NASDAQ
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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