SSRNLLMs & Text
From Algorithms to Agents: A Survey of LLM-Based Trading Systems
A survey of 47 LLM trading systems across six markets finds that reported margins shrink or vanish when rerun, with best evidence placing language models upstream of execution.
Featured in No. 135 on 16 Oct 2026 · 1 day after release
- Released
- 15 Oct 2026
- First featured
- No. 135 · 16 Oct 2026
- Published in
- Not yet, as far as Semantic Scholar knows
- Fanfare
- 4 of 5
- Identifier
- SSRN 7610285
- Authors
- Yebo Feng et al.
Citations and venue from Semantic Scholar (ODC-BY), refreshed weekly. Summary: Quant Letter (CC BY 4.0).