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About Artificial Intelligence Applied To Stock Market Trading A Review
This document reviews over 2,300 papers on applying artificial intelligence to stock market trading published between 1995 and 2019. It divides the papers into four categories: portfolio optimization, stock market prediction, financial sentiment analysis, and combinations of approaches. For each category, it describes the initial research and current state-of-the-art applications. The review finds this research area is gaining increasing attention, with the literature becoming more specific and thorough over time.
Detailed Information
| Author: | ['Abdellatif Soklabi'] |
|---|---|
| Publication Year: | 2022 |
| Pages: | 20 |
| Language: | English |
| Format: | |
| Price: | FREE |
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