Shutterstock SSTK
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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
Shutterstock (SSTK) Business Model and Operations Summary
Shutterstock Inc is a U.S.-based company that is engaged in the provision of digital content. The content segment, whose offerings include licenses for Images, Footage, Music, 3 Dimensional, and Generative AI content. Data, Distribution, and Service offerings address customer demand for products and services that are beyond its Content licenses. The company generates the majority of its revenue from Content offerings. Geographically the company generates the majority of its revenue from the Domestic market, but also has its presence in Europe and Rest of the Countries.
Key Insights
Shutterstock (SSTK) Core Market Data and Business Metrics
Latest Closing Price
$18.45Market Cap
$646.55 MillionTotal Outstanding Shares
35.25 Million SharesTotal Employees
1,715IPO Date
October 11, 2012SIC Description
Services-computer Processing & Data PreparationPrimary Exchange
New York Stock ExchangeHeadquarters
350 Fifth Avenue, New York, NY, 10118
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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