Redfin RDFN
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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
Redfin (RDFN) Business Model and Operations Summary
Redfin Corp is a residential real estate broker. It pairs its agents with the technology to create a service that is faster and costs less. The company meets customers through a listings-search website and mobile application. The company uses the same combination of technology and local service to originate mortgage loans and offer title and settlement services. It has five operating segments real estate services, rentals, mortgage, title, and monetization. The company generates the majority of its revenue from Real estate services.
Key Insights
Redfin (RDFN) Core Market Data and Business Metrics
Latest Closing Price
$11.24Market Cap
$1.38 BillionTotal Employees
4,778IPO Date
July 28, 2017SIC Description
Real Estate Agents & Managers (for Others)Primary Exchange
NASDAQHeadquarters
1099 Stewart Street, Suite 600, Seattle, WA, 98101
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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