FLO
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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 (FLO) Business Model and Operations Summary
Flowers Foods, Inc. produces and markets packaged bakery products in the United States. It offers fresh breads, buns, rolls, snack cakes, and tortillas, as well as frozen breads and rolls under the Nature's Own, Dave's Killer Bread, Wonder, Canyon Bakehouse, Mrs. Freshley's, and Tastykake brand names. The company distributes its products through a direct-store-delivery distribution and a warehouse delivery system, as well as operates 46 bakeries comprising 44 owned and two leased. Its customers include mass merchandisers, supermarkets and other retailers, convenience stores, national and regional restaurants, quick-serve chains, retail in-store bakeries, foodservice distributors, food wholesalers, institutions, dollar stores, and vending companies. The company was formerly known as Flowers Industries and changed its name to Flowers Foods, Inc. in 2001. Flowers Foods, Inc. was founded in 1919 and is headquartered in Thomasville, Georgia.
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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