TradingAgents v0.2.4: A Multi-Agent LLM Framework That Simulates an Entire Trading Firm

TL;DR UCLA Tauric Research released TradingAgents v0.2.4 (2026-04-25) — a LangGraph-based multi-agent LLM framework that mimics a real trading firm with 5 layers and ~12 agents. The new release adds Pydantic-typed structured outputs, LangGraph checkpoint resumption, a persistent decision-memory file, 5-tier rating, and 10 LLM provider integrations. Backtest on AAPL/GOOGL/AMZN shows 23-27% cumulative return. ⚠️ Disclaimer: backtest only. Not financial advice. Paper trade before any real capital.