Gartner IT
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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
Gartner (IT) Business Model and Operations Summary
Gartner Inc provides independent research and analysis on information technology and other related technology industries. Its research is delivered to clients' desktops in the form of reports, briefings, and updates. Typical clients are chief information officers and other business executives who help plan companies' IT budgets. Gartner also provides consulting services. The company operates through three business segments, namely Research, Conferences and Consulting. The company generates majority of the revenue from Research segment.
Key Insights
Gartner (IT) Core Market Data and Business Metrics
Latest Closing Price
$402.76Market Cap
$30.67 BillionTotal Employees
21,107IPO Date
October 29, 1993SIC Description
Services-management ServicesPrimary Exchange
New York Stock ExchangeHeadquarters
56 Top Gallant Rd, Stamford, CT, 06904-2212
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
Short Interest
Short Interest
This information represents bi-monthly aggregated short interest data reported to the Financial Industry Regulatory Authority (FINRA) by broker-dealers.
Settlement Date: The date on which the short interest data is considered settled, typically based on exchange reporting schedules.
Short Interest: The total number of shares that have been sold short but have not yet been covered or closed out.
Avg Daily Volume: The average daily trading volume for the stock over the specified period, typically used to contextualize short interest.
Days To Cover: The estimated number of days it would take to cover all short positions based on average trading volume.
Bi-monthly short interest levels can be used to gauge bearish market sentiment and short squeeze potential
Revenue Breakdown
Distribution of revenue across unique business segments & geographies
Historical Stock Splits
| Execution Date | Split Amount |
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