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TradingAgents: Multi-Agents LLM Financial Trading Framework
News
[2026-07]
TradingAgents v0.3.1
released with correctness and stability fixes: Alpha Vantage look-ahead filtering, graph-router crash-safety, graph-shape-aware checkpoint resume, working crypto sentiment sources, a configurable LLM retry budget, Bedrock API-key auth, and Claude Sonnet 5 / Fable 5 support. See
CHANGELOG.md
for the full list.
[2026-06]
TradingAgents v0.3.0
released with a verified data-access contract, an expanded provider registry (NVIDIA, Kimi, Groq, Mistral, Bedrock, and any OpenAI-compatible endpoint), FRED and Polymarket data vendors, a current-generation model catalog, and a CI gate.
[2026-05]
TradingAgents v0.2.5
released with the grounded Sentiment Analyst, GPT-5.5 etc. model coverage, Qwen/GLM/MiniMax dual-region support,
TRADINGAGENTS_*
env-var configurability with API-key auto-detection, remote Ollama support, non-US alpha benchmarks, and ticker path-traversal hardening.
[2026-04]
TradingAgents v0.2.4
released with structured-output agents (Research Manager, Trader, Portfolio Manager), LangGraph checkpoint resume, persistent decision log, DeepSeek/Qwen/GLM/Azure provider support, Docker, and a Windows UTF-8 encoding fix.
[2026-03]
TradingAgents v0.2.3
released with multi-language support, GPT-5.4 family models, unified model catalog, backtesting date fidelity, and proxy support.
[2026-03]
TradingAgents v0.2.2
released with GPT-5.4/Gemini 3.1/Claude 4.6 model coverage, five-tier rating scale, OpenAI Responses API, Anthropic effort control, and cross-platform stability.
[2026-02]
TradingAgents v0.2.0
released with multi-provider LLM support (GPT-5.x, Gemini 3.x, Claude 4.x, Grok 4.x) and improved system architecture.
[2026-01]
Trading-R1
Technical Report
released, with
Terminal
expected to land soon.
�
TradingAgents
officially released! We have received numerous inquiries about the work, and we would like to express our thanks for the enthusiasm in our community.
So we decided to fully open-source the framework. Looking forward to building impactful projects with you!
🚀
TradingAgents
| âš¡
Installation & CLI
| �
Demo
| 📦
Package Usage
| �
Contributing
| 📄
Citation
TradingAgents Framework
TradingAgents is a multi-agent trading framework that mirrors the dynamics of real-world trading firms. By deploying specialized LLM-powered agents: from fundamental analysts, sentiment experts, and technical analysts, to trader, risk management team, the platform collaboratively evaluates market conditions and informs trading decisions. Moreover, these agents engage in dynamic discussions to pinpoint the optimal strategy.
TradingAgents framework is designed for research purposes. Trading performance may vary based on many factors, including the chosen backbone language models, model temperature, trading periods, the quality of data, and other non-deterministic facto

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🔗 **[TauricResearch/TradingAgents （今天有⭐257颗星）](https://github.com/TauricResearch/TradingAgents)**
> TauricResearch/TradingAgents (⭐ 257 stars today)
🏷️ 来源: GitHub Trending

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🐾 **小九锐评**

Agent是今年最卷的方向，没有之一。这篇的实操经验够硬，建议收藏。

_转载自 GitHub Trending，内容版权归原作者所有_
⏱️ 2026-07-06 18:31