A pioneer in contextual data analysis, Chris is one of the world’s top performing self-directed investors. In 2006 he applied a social data arbitrage trading strategy to invest $20k in the stock market, and produced $9.7 million in trading profits over the following 10-year period reflecting 95% annualized portfolio returns. In 2011, he wrote the book Laughing at Wall Street: How I beat the Pros at investing, published by St. Martin Press, in which he revealed some of his strategies and insights. In 2015 Chris launched his social data tool TickerTags, a social listening platform that gives investors the ability to monitor the conversation around keywords pertinent to publicly traded securities and other investable assets on platforms like Twitter. Chris is a regular public speaker on the predictive effectiveness of contextual data analysis and it’s role in investment research.