Bumble BMBL
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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
Bumble (BMBL) Business Model and Operations Summary
Bumble Inc. provides online dating and social networking platforms in North America, Europe, internationally. It owns and operates websites and applications that offers subscription and in-app purchases dating products. The company operates two apps, Bumble and Badoo with approximately 40 million users on monthly basis, as well as Fruitz, an online dating app. Bumble Inc. was founded in 2014 in and is headquartered in Austin, Texas.
Key Insights
Bumble (BMBL) Core Market Data and Business Metrics
Latest Closing Price
$5.62Market Cap
$616.65 MillionAverage Trade Volume
3,487,018 SharesTotal Outstanding Shares
103.29 Million SharesCEO
Ms. Whitney Wolfe HerdTotal Employees
1,200IPO Date
February 11, 2021SIC Description
Services-computer Programming, Data Processing, Etc.Primary Exchange
NASDAQHeadquarters
1105 West 41st Street, Austin, TX, 78756
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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