Thursday, April 15, 2010



As an undergraduate student, Connelly majored in Mathematics, with his primary focus to develop a strategy for discovering winning stocks. Connelly was convinced that winning stocks must have statistical similarities, and felt certain he could discover the events that cause them, in order to identify breakout stocks before they happen.
While his professors reminded Connelly that he was not the first person who thought he could discover a pattern in the stock market; Connelly was certain that at a bare minimum, he could develop a unique strategy that would give the average investor "an edge" in determining which stocks have the best probability for success.
His goal was to determine a way he could identify variable entry and exit points, designed to give the average investor the highest possible return on their investment.
Against his professor’s best wishes, Connelly began to use his understanding of computation, statistics, and random processes; to determine if winning stocks actually did follow an identifiable statistical pattern.
He began by going ‘back in time’ to investigate 20 of the biggest winners over the previous year. After months of painstaking research Connelly was able to identify 4 key variables that led to bullish trading patterns in 19 of the 20 stocks he researched.
However, the big surprise was the discovery that the ratio of each of the 4 variables was Virtually Identical.

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