PERF
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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 (PERF) Business Model and Operations Summary
Perfect Corp. provides SaaS artificial intelligence and augmented reality beauty and fashion tech business solutions. The company offers AR makeup virtual try-on, YouCam tutorial, AI foundation shade finder and matcher, AI virtual background changer, AI skin analysis, AI face analyzer, AI face reshape simulator, AI personality finder, in-store barcode try-on, AI virtual hair color try-on, AR hairstyle virtual try-on, AI beard dye and beard style virtual try-on, hat and headband virtual try-on, AI-powered virtual try-on for glasses, virtual try-on for nails, AR watch virtual try-on, AR ring virtual try-on, AR bracelet virtual try-on, and AR earring virtual try-on solutions and services. It also provides YouCam makeup, YouCam perfect, YouCam video, YouCam cut, YouCam nails, and YouCam fun apps. The company was founded in 2015 and is based in New Taipei City, Taiwan.
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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