Sunrun RUN
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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
Sunrun (RUN) Business Model and Operations Summary
Sunrun is engaged in the design, development, installation, sale, ownership, and maintenance of residential solar energy systems in the United States. The company acquires customers directly and through relationships with various solar and strategic partners. The solar systems are constructed either by Sunrun or by Sunrun's partners and are owned by the company. Sunrun's customers typically enter into 20- to 25-year agreements to utilize its solar energy system. The company also sells solar energy systems and products, such as panels and racking, and solar leads generated to customers.
Key Insights
Sunrun (RUN) Core Market Data and Business Metrics
Latest Closing Price
$7.49Market Cap
$1.64 BillionTotal Outstanding Shares
228.49 Million SharesTotal Employees
11,058IPO Date
August 5, 2015SIC Description
Miscellaneous Electrical Machinery, Equipment & SuppliesPrimary Exchange
NASDAQHeadquarters
600 California Street, Suite 1800, 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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