WEN
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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 (WEN) Business Model and Operations Summary
The Wendy's Company, together with its subsidiaries, operates as a quick-service restaurant company. It operates through three segments: Wendy's U.S., Wendy's International, and Global Real Estate & Development. The company is involved in operating, developing, and franchising a system of quick-service restaurants specializing in hamburger sandwiches. As of January 2, 2022, it operated approximately 403 company-operated restaurants; 5,535 franchised restaurants in the United States; and 1,006 franchised restaurants internationally. The company also owns and leases real estate properties. It owns 485 and leases 1,235 properties, which are leased or subleased to franchisees. The company was formerly known as Wendy's/Arby's Group, Inc. and changed its name to The Wendy's Company in July 2011. The Wendy's Company was founded in 1969 and is headquartered in Dublin, Ohio.
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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