Sonder SOND
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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
Sonder (SOND) Business Model and Operations Summary
Sonder Holdings Inc is engaged in providing short and long-term accommodations to travelers in various cities across North America, Europe, and the Middle East. The Sonder units in each apartment-style building and each hotel property are selected, designed, and managed directly by the Company. The Company generates revenues by providing short-term or month-to-month accommodations to its guests. The Company also provides accommodations to travelers through boutique hotels.
Key Insights
Sonder (SOND) Core Market Data and Business Metrics
Latest Closing Price
$1.77Market Cap
$22.45 MillionTotal Outstanding Shares
12.89 Million SharesTotal Employees
1,642IPO Date
January 19, 2022SIC Description
Hotels, Rooming Houses, Camps & Other Lodging PlacesPrimary Exchange
NASDAQHeadquarters
447 Sutter St. Suite 405, #542, San Francisco, CA, 94108
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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