
This dataset contains historical stock data for the S&P 100 companies, used to support the research paper "Can Large Language Models Beat Wall Street? Evaluating GPT-4’s Impact on Financial Decision-Making with MarketSenseAI." The dataset includes the monthly investment signals ('buy', 'hold', 'sell') and the corresponding explanations generated by MarketSenseAI for each stock of the S&P 100 companies, covering the period from January 1, 2023, to February 29, 2024.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
