# TradingAgents

> Multi-agent LLM framework for financial trading research

Simulates a trading firm with LLM agents: analysts, researchers, a trader and risk managers who debate and make trading decisions. For research, not financial advice.

- Source: https://github.com/TauricResearch/TradingAgents
- Homepage: https://arxiv.org/pdf/2412.20138
- License: Apache-2.0
- Language: Python
- Stars: 109792
- Forks: 21105
- Contributors: 25
- Last commit: 2026-10-03
- Latest release: v0.6.0 (2026-10-03)
- Purpose: AI & LLM tooling, Data & analytics, Agents & frameworks
- Runs on: Library / SDK
- For: Personal

## Worth score: 84/100

How much DigGitHub recommends it, from activity, adoption, docs, license and security signals.

- Popularity: 25/25
- Momentum: 10/20
- Maintenance: 25/25
- Community: 12/15
- Readiness: 12/15

## Alternatives

- [LangChain](https://diggithub.com/langchain-ai/langchain.md): Framework for building LLM-powered applications
- [LangGraph](https://diggithub.com/langchain-ai/langgraph.md): Build resilient, stateful agents
- [AI Hedge Fund](https://diggithub.com/virattt/ai-hedge-fund.md): Team of AI agents that simulate hedge fund decisions
- [Mem0](https://diggithub.com/mem0ai/mem0.md): Memory layer for AI agents
- [DSPy](https://diggithub.com/stanfordnlp/dspy.md): Program language models instead of prompting them
- [Hindsight](https://diggithub.com/vectorize-io/hindsight.md): Agent memory that learns
- [Semantica](https://diggithub.com/semantica-agi/semantica.md): Graph-native context infrastructure for AI
- [CrewAI](https://diggithub.com/crewAIInc/crewAI.md): Orchestrate role-playing AI agent crews

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Source page: https://diggithub.com/TauricResearch/TradingAgents
Updated: 2026-10-05