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Chapter 3 of 10 · 18 entries

3. Multi-Agent Research and Decision Systems ​

These systems simulate an analyst team: specialized agents debate, hand off, and reach a decision. Useful for exploring role structure, not as out-of-the-box alpha.

Flagship multi-agent systems ​

  • TradingAgents Multi-agent LLM trading framework with analyst, trader, and risk roles.
  • ai-hedge-fund AI hedge fund simulation with specialized investing agents.
  • TradingAgents-CN Chinese-enhanced TradingAgents with local market adaptations. CN
  • valuecell Community multi-agent platform aimed at financial applications.
  • AutoHedge Swarm-style auto-hedge multi-agent system.
  • TradingAgents-astock A-share adapted TradingAgents with local data features. CN
  • aiagents-stock Multi-AI stock team for analysis, watchlists, and sector rotation alerts. CN
  • TradingAgents-AShare A-share multi-agent research desk with debate UI. CN
  • lumibot Broker-connected trading agents with backtests across many brokers. simlive
  • ai-hedge-fund-crypto Crypto-oriented fork of ai-hedge-fund.
  • ALTA Research-only multi-agent trading firm: scouts, reviewers, and a strategy desk with a separate broker boundary. sim
  • atlas-gic Self-improving trading agents that evolve their prompts against market feedback (autoresearch-style).
  • ai-market-maker Crypto hedge-fund-style agent stack on LangGraph with a hard risk-guard veto before execution.
  • easy_investment_Agent_crewai CrewAI + AKShare multi-agent A-share analysis platform. CN
  • CryptoTradingAgents Multi-agent LLM decision framework adapted for crypto markets.
  • trading-agents-java Spring AI multi-agent research desk with debate, daily position reviews, and vector memory. CN
  • AlpacaTradingAgent TradingAgents-style multi-agent framework wired to Alpaca for paper/live orders. simlive
  • FinCon Manager-analyst multi-agent system with conceptual verbal reinforcement (NeurIPS 2024). paper

Pitfall Tip ​

Debate does not equal correctness. Watch for shared context contamination across agents and for consensus that is just the loudest prompt.

For research and education only. Not investment advice.