v0.1.0-Research MVP

Highlights

Deterministic quant pipeline: data, features, strategies, backtest, risk, reports

LightGBM direction model + walk-forward OOS evaluation

161 passing pytest cases (mock/synthetic in tests)

Agent layer: SupervisorAgent, ResearchAgent, optional LLM narration (no live orders)

Memory/RAG v2, optional LangGraph workflow

Text signal layer (M6 skeleton)

Verified research baseline

Walk-forward OOS sharpe 0.586 (EXP-20260602-008, server walk-forward)

Install

git clone https://github.com/ytq0198/Quant-MAS.git
cd Quant-MAS
python -m pip install -e .
python -m pytest -v

Not included

No live trading / broker integration

M7 RL / M8 MCP are roadmap only (not implemented)

MIT License · Research & education only — not financial advice.