PONY
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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
undefined (PONY) Business Model and Operations Summary
Pony AI Inc., through its subsidiaries, engages in the autonomous mobility in the People's Republic of China and the United States. The company provides robotruck services, such as transportation services to the logistics platforms. It also offers robotaxi services, including a suite of AV engineering solutions comprising AV software deployment and maintenance, vehicle integration and engineering, and road testing; and fare-charging robotaxi services. In addition, the company offers personally-owned vehicle intelligent solutions, including intelligent driving software solutions, proprietary vehicle domain controller products, and data analytics tools; vehicle integration services, software development, and licensing services; and vehicle-to-everything (V2X) products and services to enhance road safety. The company was incorporated in 2016 and is based in Guangzhou, the People's Republic of China.
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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