May 16, 2017 / M2 PRESSWIRE / BUYINS.NET / www.squeezetrigger.com is monitoring the performance of all stocks with earnings being released Wednesday, May 17th 2017 and determining how the stocks have performed After their last 12 quarterly, 6 quarterly and earnings reports. Flowers Foods Inc (NYSE:FLO) are all expected to be Up After their earnings are released Wednesday. The movement of stock prices in the days and weeks leading to and following these earnings announcements may follow a predictable pattern. Most companies stock price histories show random or unpredictable movements around earnings dates. But some seem to repeat the same pattern quarter after quarter, year after year. The # of Reports in the table below shows how many previous quarterly reports comprise the indicator that predicts how a stock will act after its earnings are released. The specific technology used to make these predictions is available for a low monthly fee at http://www.squeezetrigger.com . The following stocks are expected to go Up After earnings are released Wednesday:
Symbol Company # of Reports Quarter Release Time
FLO Flowers Foods Inc May Earnings Q1 After
This technology is designed to help the stock trader identify those companies that seem to have a consistent pattern of movement before or after the earnings release date, based on the history of earnings releases for that company. It combines a calendar of expected earnings releases with a history of past earnings releases in a way that lets you see if a pattern exists.
Flowers Foods Inc (NYSE:FLO) – Flowers Foods, Inc. produces and markets bakery products in the United States. It operates through two segments, Direct-Store-Delivery (DSD) and Warehouse Delivery. The DSD segment produces and markets fresh bakery foods, including fresh breads, buns, rolls, tortillas, and snack cakes. This segment offers its products primarily under the Nature s Own, Wonder, Cobblestone Bread Company, Tastykake, and Dave s Killer Bread brand names. It operates 39 bakeries, as well as sells its products through a network of independent distributors to retail and foodservice customers. The Warehouse Delivery segment produces snack cakes, breads, and rolls for national retail, foodservice, vending, and co-pack customers through a network of warehouse channels. This segment markets its products under the Mrs. Freshley s, Alpine Valley Bread, and European Bakers brand names. Flowers Foods, Inc. also sells products under franchised and licensed trademarks and trade names, such as Sunbeam, Bunny, and Sara Lee. 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..
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REGULATORY & COMPLIANCE NEWS
Friction Factor – Market maker surveillance system tracking Level II market makers in all stocks to determine Price Friction and compliance with new “Fair Market Making Requirements”
Naked Shorts (RegSho) – Tracks EVERY failure to deliver in all US stocks and tracks all Threshold Security Lists daily for which stocks have naked shorts that are not in compliance with Regulation SHO
INVESTMENTS & TRADING
Earnings – Predicts probability, price move and length of move before and after all US stock earnings reports
Seasonality – Predicts probability, price move and length of move based on exact time of year for all US stocks
Group Correlation – Tracks sector rotation and stock correlation to its sector and predicts future moves in ALL sectors and industry groups
SqueezeTrigger – Massive database that tracks EVERY short sale (not just total short interest) in all US stocks and calculates volume weighted price that a short squeeze will begin in each stock.
Valuation – Tracks all known valuation models and applies them.
GATS – Tracks and quantifies known trading strategies by backtesting, optimizing and running genetic algorithms and neural networks to ascertain best trading strategies.
PatternScan – Automates tracking of every technical pattern and predicts next move in stocks.
Insider – Tracks insiders trading records and determines trading performance. Trades by higher-level insiders are generally more predictive than trades by lower level insiders
Events – Tracks patterns directly correlated to specific events.
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