TauricResearch/TradingAgents just hit 71 thousand stars. It’s a multi-agent LLM trading framework that mirrors a real trading firm — fundamentals analyst, sentiment, news, technical, bull/bear researchers, trader, risk team, portfolio manager. All open source, Apache 2.0, built on LangGraph.

How to install:
— git clone https://github.com/TauricResearch/TradingAgents
— cd TradingAgents
— conda create -n ta python=3.13
— pip install .
— tradingagents
Or just docker compose run –rm tradingagents

Plug in any LLM: OpenAI, Claude, Gemini, Grok, DeepSeek, Qwen, GLM, OpenRouter, Azure, or Ollama for free local.

Run it:
from tradingagents.graph.trading_graph import TradingAgentsGraph
ta = TradingAgentsGraph(debug=True, config=DEFAULT_CONFIG)
_, decision = ta.propagate(“NVDA”, “2026-01-15”)
print(decision)

3 cash plays:
— Fiverr backtest gigs $50-300 each
— SaaS dashboard $29/mo per trader
— Daily picks newsletter $20/mo per subscriber

Free 8-page guide: https://drive.google.com/file/d/1odC02xxFQNMQTwzfFy3qtc1uup8eI7ZK/view?usp=drivesdk

Subscribe for daily AI drops: https://youtube.com/@gptaiclips

Resources:
Repo: https://github.com/TauricResearch/TradingAgents
Paper: https://arxiv.org/abs/2412.20138
Tauric Research: https://tauric.ai/

Disclaimer: For research only. Not financial or trading advice.

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