arXiv (All)
open access
Agentic Quantitative Trading: A Survey of Workflows, Systems, and Evaluation
Quantitative trading is moving from isolated predictive models toward agentic workflows that combine reasoning, tool use, memory, and feedback. This survey reviews agentic quantitative trading across five stages: factor mining, signal discovery, portfolio construction, order execution, and risk mana
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Agentic Quantitative Trading: A Survey of Workflows, Systems, and Evaluation#809081
- CivBench: Progress-Based Evaluation for LLMs' Strategic Decision-Making in Civilization V#1036674
- Thinking Before Thinking: Scaling Agentic Inference Through Meta-Reasoning#1142442
- Thinking Before Thinking: Scaling Agentic Inference Through Meta-Reasoning#1122321
- Agentic AI for Clustering, Relationship Discovery, and Semantic Trading in Prediction Markets#1141460
Record · ID 819073
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive