BUZZ Indexes’ Wise On Sentiment-Based ETF, BUZ

Jamie Wise, Founder, BUZZ Indexes met with Julie Cooling, Founder & CEO, RIA Channel to discuss the process behind the sentiment-based ETF, BUZ. Beginning as a research project just over five years ago, BUZZ utilizes natural language processing techniques and AI to identify sentiment at an individual stock level. Tapping into millions of online posts, the index analyzes and screens Large Cap stocks based on consistent levels of conversation.  “We use Large Cap U.S. Equity because it’s the most widely used and talked about,” says Wise. The pool of stocks are then ranked based on most positive to least positive sentiment. Each month the index holds what it determines to be the most bullish 75 stocks. Then in order to track long-term changes in trends or momentum, the index reconstitutes it’s holdings every month.