Full Truck Alliance Co. YMM
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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
Full Truck Alliance Co. (YMM) Business Model and Operations Summary
Full Truck Alliance Co. Ltd., together with its subsidiaries, operates a digital freight platform that connects shippers with truckers to facilitate shipments across distance ranges, cargo weights, and types in the People's Republic of China. The company offers freight listing, matching, and brokerage services; and online transaction services, as well as various value-added services, such as credit solutions, insurance brokerage, electronic toll collection, and energy services. It also provides technology development and other services. The company was founded in 2011 and is based in Guiyang, China.
Key Insights
Full Truck Alliance Co. (YMM) Core Market Data and Business Metrics
Latest Closing Price
$11.63Market Cap
$12.32 BillionAverage Trade Volume
9,432,096 SharesTotal Outstanding Shares
18.79 Billion SharesCEO
Mr. Hui ZhangTotal Employees
7,185IPO Date
June 22, 2021Primary 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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