XPeng XPEV
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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
XPeng (XPEV) Business Model and Operations Summary
XPeng Inc. designs, develops, manufactures, and markets smart electric vehicles in the People's Republic of China. It offers SUVs under the G3 and G3i names; four-door sports sedans under the P7 name; and family sedans under the P5 name. The company also provides sales contracts, maintenance, super charging, vehicle leasing, insurance agency, ride-hailing, technical support, automotive loan referral and auto financing, music subscription, and other services. XPeng Inc. was founded in 2015 and is headquartered in Guangzhou, the People's Republic of China.
Key Insights
XPeng (XPEV) Core Market Data and Business Metrics
Latest Closing Price
$19.31Market Cap
$18.38 BillionAverage Trade Volume
11,820,218 SharesTotal Outstanding Shares
1.55 Billion SharesCEO
Mr. Xiaopeng HeTotal Employees
15,364IPO Date
August 27, 2020Primary Exchange
New York Stock Exchange
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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