Web-Mined Hypothesis Generation for Financial Markets: An Autonomous Backtesting Framework.
| Anthology ID: | DBLP:conf/wsdm/0114L26 |
|---|---|
| Volume: | Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, WSDM 2026, Boise, ID, USA, February 22-26, 2026 |
| Year: | 2026 |
| Venue: | Web Search and Data Mining (WSDM) |
| Publisher: | ACM |
| Pages: | 1384-1385 |
| URL: | https://doi.org/10.1145/3773966.3785511 |
| DOI: | https://doi.org/10.1145/3773966.3785511 |
| DBLP: | conf/wsdm/0114L26 |
| BibTeX: |
@inproceedings{li-2026-webmined,
author = {Jing Li and
Jinliang Li},
title = {{Web-Mined Hypothesis Generation for Financial Markets: An Autonomous Backtesting Framework}},
booktitle = {{Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, WSDM 2026, Boise, ID, USA, February 22-26, 2026}},
pages = {1384--1385},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3773966.3785511},
doi = {https://doi.org/10.1145/3773966.3785511}
}