GreenPower Motor GP
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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
GreenPower Motor (GP) Business Model and Operations Summary
GreenPower Motor Co Inc is the manufacturer and distributor of all-electric charter, school, and city buses. The company offers electric-powered transit buses deploying electric drive and battery technologies with a lightweight chassis and low-floor body. Its product line includes all-electric transit buses, all-electric school buses, and shuttle buses. The company's buses depend on clean sheet design and utilize a custom battery management system and a proprietary flex power system for the drive motors. Geographically, the company generates a majority of its revenue from the United States of America and the rest from Canada.
Key Insights
GreenPower Motor (GP) Core Market Data and Business Metrics
Latest Closing Price
$0.4385Market Cap
$12.66 MillionTotal Outstanding Shares
29.49 Million SharesTotal Employees
116IPO Date
February 9, 2015Primary 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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