Lulu's Fashion Lounge LVLU
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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
Lulu's Fashion Lounge (LVLU) Business Model and Operations Summary
Lulu's Fashion Lounge Holdings, Inc. operates as an online retailer of women's clothing, shoes, and accessories. The company offers dresses, tops, bottoms, bridal wear, intimates, swimwear, footwear, and accessories under the Lulus brand. It sells its products through owned media, which primarily consists of its website, mobile app, social media platforms, email, and SMS; and earned and paid media, as well as social media platforms. The company primarily serves Millennial and Gen Z women. Lulu's Fashion Lounge Holdings, Inc. was founded in 1996 and is headquartered in Chico, California.
Key Insights
Lulu's Fashion Lounge (LVLU) Core Market Data and Business Metrics
Latest Closing Price
$0.3791Market Cap
$19.20 MillionAverage Trade Volume
114,160 SharesCEO
Ms. Crystal LandsemTotal Employees
580IPO Date
November 11, 2021SIC Description
Retail-catalog & Mail-order HousesPrimary Exchange
NASDAQHeadquarters
195 Humboldt Avenue, Chico, CA, 95928
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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