Airbnb ABNB
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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
Airbnb (ABNB) Business Model and Operations Summary
Airbnb, Inc., together with its subsidiaries, operates a platform that enables hosts to offer stays and experiences to guests worldwide. The company's marketplace model connects hosts and guests online or through mobile devices to book spaces and experiences. It primarily offers private rooms, primary homes, or vacation homes. The company was formerly known as AirBed & Breakfast, Inc. and changed its name to Airbnb, Inc. in November 2010. Airbnb, Inc. was founded in 2007 and is headquartered in San Francisco, California.
Key Insights
Airbnb (ABNB) Core Market Data and Business Metrics
Latest Closing Price
$129Market Cap
$79.87 BillionAverage Trade Volume
5,809,885 SharesTotal Outstanding Shares
431.60 Million SharesCEO
Mr. Brian CheskyTotal Employees
7,300IPO Date
December 10, 2020SIC Description
Services-to Dwellings & Other BuildingsPrimary Exchange
NASDAQHeadquarters
888 Brannan St., San Francisco, CA, 94103
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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