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From this work, it was found that using the article terms and the price of the stock at the time the article was released was the most effective model and using proper nouns was the most effective textual representation technique. Combining the two, AZFinText netted a 2.84% trading return over the five-week study period.
Robert P. Schumaker is an American academic and Professor of computer science at the University of Texas at Tyler, best known for creating AZFinText, a news-aware high-frequency stock trading system. Schumaker is also known as a Sports Analytics expert for his pioneering work using Twitter tweet sentiment to predict sports outcomes and is ...
A further encouragement for the adoption of algorithmic trading in the financial markets came in 2001 when a team of IBM researchers published a paper [18] at the International Joint Conference on Artificial Intelligence where they showed that in experimental laboratory versions of the electronic auctions used in the financial markets, two ...
Back in the dot-com boom era, stock splits became commonplace in response to soaring share prices. Amid the current artificial intelligence (AI) boom, a similar pattern could be developing.
The company’s Artificial Intelligence for Human Interaction platform uses AI to help deliver one-on-one and one-to-many education, by pairing learners with the best teachers for their needs.
How Artificial Intelligence (AI) Is Transforming Stock Research. ... After all, Stock Advisor’s total average return is 899% — a market-crushing outperformance compared to 173% for the S&P 500.*