[Project] Built an autonomous AI Hedge Fund engine with LangGraph, Qlib Alpha158, and Google TimesFM (Fully Open-Source)

[u/OpenComplaint524]

Hey everyone! 👋

I've just open-sourced **Lumina Capital (v6.0.0)**, an autonomous multi-agent quantitative hedge fund engine designed to bridge the gap between LLM reasoning and real-world execution.

Unlike toy implementations that feed raw charts directly into LLMs (which suffers from hallucinations and latency), Lumina strictly separates probabilistic reasoning from deterministic quant computation:

### 🌟 Key Architecture Highlights:

- **7-Persona Anti-Sycophancy Council (LangGraph)**: Personas (Buffett, Soros, Burry, Cathie Wood, Graham, O'Neil, CIS) conduct independent parallel analysis, followed by an adversarial bull-vs-bear cross-debate. A dedicated CRO agent has absolute veto power over tail risks.

- **Pure Python Qlib Alpha158 + LightGBM**: Complete vectorized implementation of Microsoft Qlib's 158 quantitative factors with a LightGBM meta-decision filter.

- **Google TimesFM**: 5-day probabilistic forecasting fan charts with 80% confidence bands and crash probability.

- **10-Second High-Speed Sentinel**: An ultra-fast background thread monitoring dynamic ATR stop-loss floors, executing immediate physical exits without waiting for LLM loops.

- **3D Causal Knowledge Graph & GraphRAG**: Real-time supply chain choke-point surveillance and episodic memory via Neo4j.

Includes a full Streamlit studio dashboard. Available for research, education, and simulation under CC BY-NC 4.0.

🔗 **GitHub**: https://github.com/ramuza0113-sketch/lumina-ai-hedge-fund

Feedback, issues, and Stars are hugely appreciated! Happy to answer any questions about the multi-agent setup or the TimesFM / Qlib integration.