comScore SCOR
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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
comScore (SCOR) Business Model and Operations Summary
comScore Inc is a United States-based information and analytics company that measures advertising, content, and the consumer audiences of each across media platforms. The platforms it measures include televisions, mobile devices, computers, tablets, CTV devices, and movie theaters. The company generates almost all its revenue from the United States, followed by Europe, Latin America, Canada, and other regions. It provides solutions for the automotive, digital media, financial services, pharmaceutical, retail, technology, travel, and other industries.
Key Insights
comScore (SCOR) Core Market Data and Business Metrics
Latest Closing Price
$4.6Market Cap
$24.24 MillionTotal Outstanding Shares
4.95 Million SharesTotal Employees
1,200IPO Date
June 27, 2007SIC Description
Services-business Services, NecPrimary Exchange
NASDAQHeadquarters
11950 Democracy Drive, Reston, VA, 20190
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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