Information Services Group III
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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
Information Services Group (III) Business Model and Operations Summary
Information Services Group Inc is a U.S.-based technology insight, market intelligence, and advisory services firm. It principally offers digital transformation services, such as automation and cloud & data analytics; managed governance; network carrier services; technology plan and operations design; changes management; market intelligence & technology research and analysis. It operates in one segment, fact-based sourcing advisory services. Its geographical segments are the Americas, Europe, and Asia-pacific, out of which maximum revenue is derived from Americas.
Key Insights
Information Services Group (III) Core Market Data and Business Metrics
Latest Closing Price
$4.83Market Cap
$232.83 MillionTotal Outstanding Shares
48.20 Million SharesTotal Employees
1,300IPO Date
February 12, 2007SIC Description
Services-management Consulting ServicesPrimary Exchange
NASDAQHeadquarters
2187 Atlantic Street, Stamford, CT, 06902
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
Execution Date | Split Amount |
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