>The researchers collated 67,586 headlines pertaining to 4,138 unique companies during this time, using web scraping techniques. These headlines were subsequent

>The researchers collated 67,586 headlines pertaining to 4,138 unique companies during this time, using web scraping techniques. These headlines were subsequently filtered for relevance, with the team narrowing their focus to full articles and press releases, excluding any stock-gain or stock-loss headlines. They also removed duplicate news to ensure only fresh information was used. 67,586 headlines over more than a one-year period is under 200 headlines per day. One human analyst could trivially perform sentiment analysis on that many headlines before lunch. Practically perfect sentiment analysis on this scale is thousands of years old. There is no "special sauce" from ChatGPT.