TLYS
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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 (TLYS) Business Model and Operations Summary
Tilly's, Inc. operates as a specialty retailer of casual apparel, footwear, accessories, and hardgoods for young men and women, and boys and girls in the United States. Its apparel merchandise includes tops, outerwear, bottoms, and dresses; and accessories merchandise comprises backpacks, hydration bottles, hats, sunglasses, small electronics and accessories, handbags, watches, jewelry, and others, as well as hardgoods consists of skateboards, longboards, bikes, roller-skates, and equipment for snowboarding and surfing. The company also provides third-party merchandise assortment across its various product categories. As of March 14, 2022, it operated 241 stores. The company also sells its merchandise through its e-commerce website, tillys.com. Tilly's, Inc. was founded in 1982 and is headquartered in Irvine, California.
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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