ReNew Energy Global RNW
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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
ReNew Energy Global (RNW) Business Model and Operations Summary
ReNew Energy Global PLC is a developer and operator of clean energy projects intended to meet India's growing energy needs in an efficient, sustainable and socially responsible manner. The company provides end-to-end solutions in a just and inclusive manner in the areas of clean energy, value-added energy offerings through digitalization, storage, and carbon markets that increasingly are integral to addressing climate change. The company has four reportable segments: wind power and solar power, hydro power and transmission line. It derives maximum revenue from Wind Power segment.
Key Insights
ReNew Energy Global (RNW) Core Market Data and Business Metrics
Latest Closing Price
$6.81Market Cap
$2.54 BillionTotal Outstanding Shares
244.27 Million SharesTotal Employees
3,988IPO Date
August 24, 2021Primary Exchange
NASDAQ
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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