DSA: Evidence-Aware LLM-Agent Orchestration for Multi-Market Stock Research

arXiv:2608.26990 · cs.AI, cs.MA · Submitted 2026-08-27 · Read on arXiv

cs.AI, cs.MA

Submitted: 2026-08-27

Updated: 2026-08-27

Code: https://github.com/ZhuLinsen/daily_stock_analysis

Terminology

• Core — 19× in this paper · explained in 2 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Benchmark — 3× in this paper · explained in 2 episodes
• Provenance — 3× in this paper · explained in 3 episodes
• Abstraction — 2× in this paper · explained in 1 episode
• Accuracy — 2× in this paper · explained in 1 episode
• Consistency — 2× in this paper · explained in 3 episodes
• Multi-Agent System — 2× in this paper · explained in 5 episodes
• Reinforcement Learning — 2× in this paper · explained in 4 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Aggregation — 1× in this paper · explained in 1 episode
• Daily Stock Analysis — 1× in this paper
• Deep Reinforcement Learning — 1× in this paper · explained in 2 episodes
• Domain Adaptation — 1× in this paper · explained in 5 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Large Language Model (LLM) — 1× in this paper · explained in 3 episodes
• Trace — 1× in this paper · explained in 2 episodes

Sources

• FinGPT: Open-Source Financial Large Language Models
• ReAct: Synergizing Reasoning and Acting in Language Models
• A Multimodal Foundation Agent for Financial Trading: Tool-Augmented, Diversified, and Generalist
• FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character Design
• FinRobot: An Open-Source AI Agent Platform for Financial Applications using Large Language Models
• FinCon: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision Making
• TradingAgents: Multi-Agents LLM Financial Trading Framework
• FinRL: A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative Finance
• FinRL-Meta: Market Environments and Benchmarks for Data-Driven Financial Reinforcement Learning
• AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation
• AgentScope: A Flexible yet Robust Multi-Agent Platform
• AlphaAgents: Large Language Model based Multi-Agents for Equity Portfolio Constructions
• FinToolBench: Evaluating LLM Agents for Real-World Financial Tool Use
• Agentic Trading: When LLM Agents Meet Financial Markets

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