Stock Trend Spotter was co-founded in 2010 by John and Sharon Duffy.
John Duffy - has a BS in Economics from St. Bonaventure University, a Masters in Economics from Fordham University and an MBA from State University of New York. He has vast IT experience in a wide range of industries having spent his entire corporate career in Information Technology with IBM, Imperial Chemicals, AstraZeneca Pharmaceuticals and retiring as Senior Vice President at CIGNA Group.
John also spent 24 years (active and reserve) in the United States Navy where he served in the Naval Security Group and as a Naval Intelligence Officer, retiring with the rank of Lt. Commander. He is still active in the Veteran community as a member of the Chicago-based Bunker Labs, a non-profit organization focused on helping veterans, new and old, start and grow their own business.
Sharon Duffy - has an MBA from the University of Chicago, Booth School of Business and a Bachelors Degree in Psychology . She spent her entire career in technology companies including AT&T Computer Systems, Cisco Systems and Fujitsu Consulting. She too is actively involved in Bunker Labs.
WHY THEY FOUNDED STOCK TREND SPOTTER
Over the years, like many boomers, John and Sharon invested for their retirement in mutual funds and, in 2008, saw their retirement nest egg lose in excess of 50%. There was frustration over the limitations of the “buy and hold” strategy commonly used at the time and the lack of true management of their money to limit their losses by their money manager. In addition, previously unheard of events were unfolding, such as the failures of major Wall Street firms such as Bear Stearns, Lehman Brothers and AIG. It was clear the financial landscape had changed dramatically and they decided it was time to find a better way. Having extensive experience in economics and building complex information technology systems in a variety of industries, they embarked on building a solution that could search for and identify various repeatable trends that increased the probability of a positive return while reducing exposure to loss.